EQUATION 1

Regression

Notes
Output Created 19-OCT-2004 09:13:09
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = h t var1 var2/ STATISTICS = ALL/ DEPENDENT = h/
METHOD = ENTER.
Resources Memory Required 1788 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,16

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR2, T, VAR1(a) , Enter
a All requested variables entered.
b Dependent Variable: H





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,902(a) ,813 ,812 1,25 ,813 502,838 3 346 ,000 158,287 ,191 4,000 173,719
a Predictors: (Constant), VAR2, T, VAR1

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2344,356 3 781,452 502,838 ,000(a)
Residual 537,713 346 1,554

Total 2882,069 349


a Predictors: (Constant), VAR2, T, VAR1
b Dependent Variable: H



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 7,683 ,483

15,923 ,000 6,734 8,632




T ,256 ,063 1,372 ,338 4,054 ,000 ,132 ,380 ,899 ,213 ,094 ,005 212,342
VAR1 -1,904E-03 ,002 -,618 ,748 -,827 ,409 -,006 ,003 ,865 -,044 -,019 ,001 1037,819
VAR2 8,160E-06 ,000 ,141 ,433 ,327 ,744 ,000 ,000 ,816 ,018 ,008 ,003 347,593
a Dependent Variable: H

Coefficient Correlations(a)
Model VAR2 T VAR1
1 Correlations VAR2 1,000 ,941 -,988
T ,941 1,000 -,981
VAR1 -,988 -,981 1,000
Covariances VAR2 6,242E-10 1,484E-06 -5,687E-08
T 1,484E-06 3,983E-03 -1,425E-04
VAR1 -5,687E-08 -1,425E-04 5,305E-06
a Dependent Variable: H

Swept Correlation Matrix(a)

Columns
Model Rows VAR2 T VAR1 H
1 VAR2 347,593(xx) 255,611 -593,521 -,141(xy)
T 255,611 212,342(xx) -460,327 -1,372(xy)
VAR1 -593,521 -460,327 1037,819(xx) ,618(xy)
H ,141(yx) 1,372(yx) -,618(yx) ,187(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: H



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) T VAR1 VAR2
1 1 3,592 1,000 ,00 ,00 ,00 ,00
2 ,389 3,038 ,03 ,00 ,00 ,00
3 1,822E-02 14,040 ,14 ,03 ,00 ,03
4 2,544E-04 118,836 ,82 ,97 1,00 ,97
a Dependent Variable: H

EQUATION 2

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = h t var1 / STATISTICS = ALL/ DEPENDENT = h/
METHOD = ENTER.
Resources Memory Required 1548 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR1, T(a) , Enter
a All requested variables entered.
b Dependent Variable: H





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,902(a) ,813 ,812 1,25 ,813 756,151 2 347 ,000 156,395 ,190 3,000 167,969
a Predictors: (Constant), VAR1, T

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2344,190 2 1172,095 756,151 ,000(a)
Residual 537,878 347 1,550

Total 2882,069 349


a Predictors: (Constant), VAR1, T
b Dependent Variable: H



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 7,815 ,266

29,339 ,000 7,291 8,338




T ,236 ,021 1,268 ,114 11,074 ,000 ,194 ,278 ,899 ,511 ,257 ,041 24,372
VAR1 -1,161E-03 ,000 -,377 ,114 -3,293 ,001 -,002 ,000 ,865 -,174 -,076 ,041 24,372
a Dependent Variable: H

Coefficient Correlations(a)
Model VAR1 T
1 Correlations VAR1 1,000 -,979
T -,979 1,000
Covariances VAR1 1,243E-07 -7,372E-06
T -7,372E-06 4,560E-04
a Dependent Variable: H

Swept Correlation Matrix(a)

Columns
Model Rows VAR1 T H
1 VAR1 24,372(xx) -23,866 ,377(xy)
T -23,866 24,372(xx) -1,268(xy)
H -,377(yx) 1,268(yx) ,187(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: H



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) T VAR1
1 1 2,735 1,000 ,01 ,00 ,00
2 ,260 3,245 ,15 ,00 ,03
3 5,681E-03 21,940 ,84 1,00 ,97
a Dependent Variable: H

EQUATION 3

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = h t var3 / STATISTICS = ALL/ DEPENDENT = h/
METHOD = ENTER.
Resources Memory Required 1548 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR3(a) , Enter
a Tolerance = ,000 limits reached.
b Dependent Variable: H





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,899(a) ,808 ,807 1,26 ,808 1460,156 1 348 ,000 165,165 ,195 2,000 172,880(b)
a Predictors: (Constant), VAR3
b Multicollinearity is present. The following variables were not included in the full model used for calculation of the Mallows' Prediction Criterion: T

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2327,382 1 2327,382 1460,156 ,000(a)
Residual 554,687 348 1,594

Total 2882,069 349


a Predictors: (Constant), VAR3
b Dependent Variable: H



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 8,560 ,142

60,082 ,000 8,280 8,840




VAR3 ,168 ,004 ,899 ,024 38,212 ,000 ,159 ,176 ,899 ,899 ,899 1,000 1,000
a Dependent Variable: H





Excluded Variables(b)

Beta In t Sig. Partial Correlation Collinearity Statistics
Model Tolerance VIF Minimum Tolerance
1 T ,(a) , , , ,000 , ,000
a Predictors in the Model: (Constant), VAR3
b Dependent Variable: H

Coefficient Correlations(a)
Model VAR3
1 Correlations VAR3 1,000
Covariances VAR3 1,924E-05
a Dependent Variable: H

Swept Correlation Matrix(a)

Columns
Model Rows VAR3 H T
1 VAR3 1,000(xx) -,899(xy) -1,000(x~)
H ,899(yx) ,192(yy) ,000(y~)
T 1,000(~x) ,000(~y) ,000(~~)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
x~ Row variable is an independent variable, column variable is an excluded independent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
y~ Row variable is the dependent variable, column variable is an excluded independent variable.
~x Row variable is an excluded independent variable, column variable is an independent variable.
~y Row variable is an excluded independent variable, column variable is the dependent variable.
~~ This variable is an excluded predictor.
a Dependent Variable: H



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) VAR3
1 1 1,881 1,000 ,06 ,06
2 ,119 3,970 ,94 ,94
a Dependent Variable: H

EQUATION 4

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = h t var1 / ORIGIN/ STATISTICS = ALL/ DEPENDENT = h/
METHOD = ENTER.
Resources Memory Required 1548 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b,c)
Model Variables Entered Variables Removed Method
1 VAR1, T(a) , Enter
a All requested variables entered.
b Dependent Variable: H
c Linear Regression through the Origin





Model Summary

R R Square(a) Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,986(b) ,971 ,971 2,32 ,971 5894,970 2 348 ,000 590,924 ,029 2,000 598,640
a For regression through the origin (the no-intercept model), R Square measures the proportion of the variability in the dependent variable about the origin explained by regression. This CANNOT be compared to R Square for models which include an intercept.
b Predictors: VAR1, T

ANOVA(c,d)
Model Sum of Squares df Mean Square F Sig.
1 Regression 63427,821 2 31713,910 5894,970 ,000(a)
Residual 1872,179 348 5,380

Total 65300,000(b) 350


a Predictors: VAR1, T
b This total sum of squares is not corrected for the constant because the constant is zero for regression through the origin.
c Dependent Variable: H
d Linear Regression through the Origin



Coefficients(a,b)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 T ,817 ,015 1,942 ,036 54,396 ,000 ,787 ,846 ,950 ,946 ,494 ,065 15,470
VAR1 -9,947E-03 ,000 -1,025 ,036 -28,716 ,000 -,011 -,009 ,853 -,839 -,261 ,065 15,470
a Dependent Variable: H
b Linear Regression through the Origin

Coefficient Correlations(a,b)
Model VAR1 T
1 Correlations VAR1 1,000 -,967
T -,967 1,000
Covariances VAR1 1,200E-07 -5,030E-06
T -5,030E-06 2,254E-04
a Dependent Variable: H
b Linear Regression through the Origin

Swept Correlation Matrix(a,b)

Columns
Model Rows VAR1 T H
1 VAR1 15,470(xx) -14,962 1,025(xy)
T -14,962 15,470(xx) -1,942(xy)
H -1,025(yx) 1,942(yx) ,029(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: H
b Linear Regression through the Origin



Collinearity Diagnostics(a,b)

Eigenvalue Condition Index Variance Proportions
Model Dimension T VAR1
1 1 1,967 1,000 ,02 ,02
2 3,286E-02 7,737 ,98 ,98
a Dependent Variable: H
b Linear Regression through the Origin

EQUATION 5

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = h var3 t/ STATISTICS = ALL/ DEPENDENT = h/
METHOD = ENTER.
Resources Memory Required 1548 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 T(a) , Enter
a Tolerance = ,000 limits reached.
b Dependent Variable: H





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,899(a) ,808 ,807 1,26 ,808 1460,156 1 348 ,000 165,165 ,195 2,000 172,880(b)
a Predictors: (Constant), T
b Multicollinearity is present. The following variables were not included in the full model used for calculation of the Mallows' Prediction Criterion: VAR3

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2327,382 1 2327,382 1460,156 ,000(a)
Residual 554,687 348 1,594

Total 2882,069 349


a Predictors: (Constant), T
b Dependent Variable: H



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 8,560 ,142

60,082 ,000 8,280 8,840




T ,168 ,004 ,899 ,024 38,212 ,000 ,159 ,176 ,899 ,899 ,899 1,000 1,000
a Dependent Variable: H





Excluded Variables(b)

Beta In t Sig. Partial Correlation Collinearity Statistics
Model Tolerance VIF Minimum Tolerance
1 VAR3 ,(a) , , , ,000 , ,000
a Predictors in the Model: (Constant), T
b Dependent Variable: H

Coefficient Correlations(a)
Model T
1 Correlations T 1,000
Covariances T 1,924E-05
a Dependent Variable: H

Swept Correlation Matrix(a)

Columns
Model Rows T H VAR3
1 T 1,000(xx) -,899(xy) -1,000(x~)
H ,899(yx) ,192(yy) ,000(y~)
VAR3 1,000(~x) ,000(~y) ,000(~~)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
x~ Row variable is an independent variable, column variable is an excluded independent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
y~ Row variable is the dependent variable, column variable is an excluded independent variable.
~x Row variable is an excluded independent variable, column variable is an independent variable.
~y Row variable is an excluded independent variable, column variable is the dependent variable.
~~ This variable is an excluded predictor.
a Dependent Variable: H



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) T
1 1 1,881 1,000 ,06 ,06
2 ,119 3,970 ,94 ,94
a Dependent Variable: H

EQUATION 6

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = h var3 t var1/ STATISTICS = ALL/ DEPENDENT = h/
METHOD = ENTER.
Resources Memory Required 1788 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,02

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR1, T(a) , Enter
a Tolerance = ,000 limits reached.
b Dependent Variable: H





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,902(a) ,813 ,812 1,25 ,813 756,151 2 347 ,000 156,395 ,190 3,000 167,969(b)
a Predictors: (Constant), VAR1, T
b Multicollinearity is present. The following variables were not included in the full model used for calculation of the Mallows' Prediction Criterion: VAR3

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2344,190 2 1172,095 756,151 ,000(a)
Residual 537,878 347 1,550

Total 2882,069 349


a Predictors: (Constant), VAR1, T
b Dependent Variable: H



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 7,815 ,266

29,339 ,000 7,291 8,338




T ,236 ,021 1,268 ,114 11,074 ,000 ,194 ,278 ,899 ,511 ,257 ,041 24,372
VAR1 -1,161E-03 ,000 -,377 ,114 -3,293 ,001 -,002 ,000 ,865 -,174 -,076 ,041 24,372
a Dependent Variable: H





Excluded Variables(b)

Beta In t Sig. Partial Correlation Collinearity Statistics
Model Tolerance VIF Minimum Tolerance
1 VAR3 ,(a) , , , ,000 , ,000
a Predictors in the Model: (Constant), VAR1, T
b Dependent Variable: H

Coefficient Correlations(a)
Model VAR1 T
1 Correlations VAR1 1,000 -,979
T -,979 1,000
Covariances VAR1 1,243E-07 -7,372E-06
T -7,372E-06 4,560E-04
a Dependent Variable: H

Swept Correlation Matrix(a)

Columns
Model Rows VAR1 T H VAR3
1 VAR1 24,372(xx) -23,866 ,377(xy) ,000(x~)
T -23,866 24,372(xx) -1,268(xy) -1,000(x~)
H -,377(yx) 1,268(yx) ,187(yy) ,000(y~)
VAR3 ,000(~x) 1,000(~x) ,000(~y) ,000(~~)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
x~ Row variable is an independent variable, column variable is an excluded independent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
y~ Row variable is the dependent variable, column variable is an excluded independent variable.
~x Row variable is an excluded independent variable, column variable is an independent variable.
~y Row variable is an excluded independent variable, column variable is the dependent variable.
~~ This variable is an excluded predictor.
a Dependent Variable: H



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) T VAR1
1 1 2,735 1,000 ,01 ,00 ,00
2 ,260 3,245 ,15 ,00 ,03
3 5,681E-03 21,940 ,84 1,00 ,97
a Dependent Variable: H

EQUATION 7

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = h var4 t/ STATISTICS = ALL/ DEPENDENT = h/
METHOD = ENTER.
Resources Memory Required 1548 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,03

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 T, VAR4(a) , Enter
a All requested variables entered.
b Dependent Variable: H





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,903(a) ,815 ,814 1,24 ,815 762,962 2 347 ,000 153,840 ,188 3,000 165,413
a Predictors: (Constant), T, VAR4

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2348,103 2 1174,051 762,962 ,000(a)
Residual 533,966 347 1,539

Total 2882,069 349


a Predictors: (Constant), T, VAR4
b Dependent Variable: H



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 4,211 1,193

3,528 ,000 1,864 6,558




VAR4 2,368 ,645 ,498 ,136 3,670 ,000 1,099 3,638 ,900 ,193 ,085 ,029 34,483
T 7,610E-02 ,025 ,408 ,136 3,007 ,003 ,026 ,126 ,899 ,159 ,069 ,029 34,483
a Dependent Variable: H

Coefficient Correlations(a)
Model T VAR4
1 Correlations T 1,000 -,985
VAR4 -,985 1,000
Covariances T 6,405E-04 -1,609E-02
VAR4 -1,609E-02 ,417
a Dependent Variable: H

Swept Correlation Matrix(a)

Columns
Model Rows T VAR4 H
1 T 34,483(xx) -33,979 -,408(xy)
VAR4 -33,979 34,483(xx) -,498(xy)
H ,408(yx) ,498(yx) ,185(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: H



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) VAR4 T
1 1 2,879 1,000 ,00 ,00 ,00
2 ,121 4,883 ,01 ,00 ,03
3 7,557E-04 61,718 ,99 1,00 ,97
a Dependent Variable: H

EQUATION 8

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = h var4 var3 t/ STATISTICS = ALL/ DEPENDENT = h/
METHOD = ENTER.
Resources Memory Required 1788 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 T, VAR4(a) , Enter
a Tolerance = ,000 limits reached.
b Dependent Variable: H





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,903(a) ,815 ,814 1,24 ,815 762,962 2 347 ,000 153,840 ,188 3,000 165,413(b)
a Predictors: (Constant), T, VAR4
b Multicollinearity is present. The following variables were not included in the full model used for calculation of the Mallows' Prediction Criterion: VAR3

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2348,103 2 1174,051 762,962 ,000(a)
Residual 533,966 347 1,539

Total 2882,069 349


a Predictors: (Constant), T, VAR4
b Dependent Variable: H



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 4,211 1,193

3,528 ,000 1,864 6,558




VAR4 2,368 ,645 ,498 ,136 3,670 ,000 1,099 3,638 ,900 ,193 ,085 ,029 34,483
T 7,610E-02 ,025 ,408 ,136 3,007 ,003 ,026 ,126 ,899 ,159 ,069 ,029 34,483
a Dependent Variable: H





Excluded Variables(b)

Beta In t Sig. Partial Correlation Collinearity Statistics
Model Tolerance VIF Minimum Tolerance
1 VAR3 ,(a) , , , ,000 , ,000
a Predictors in the Model: (Constant), T, VAR4
b Dependent Variable: H

Coefficient Correlations(a)
Model T VAR4
1 Correlations T 1,000 -,985
VAR4 -,985 1,000
Covariances T 6,405E-04 -1,609E-02
VAR4 -1,609E-02 ,417
a Dependent Variable: H

Swept Correlation Matrix(a)

Columns
Model Rows T VAR4 H VAR3
1 T 34,483(xx) -33,979 -,408(xy) -1,000(x~)
VAR4 -33,979 34,483(xx) -,498(xy) ,000(x~)
H ,408(yx) ,498(yx) ,185(yy) ,000(y~)
VAR3 1,000(~x) ,000(~x) ,000(~y) ,000(~~)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
x~ Row variable is an independent variable, column variable is an excluded independent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
y~ Row variable is the dependent variable, column variable is an excluded independent variable.
~x Row variable is an excluded independent variable, column variable is an independent variable.
~y Row variable is an excluded independent variable, column variable is the dependent variable.
~~ This variable is an excluded predictor.
a Dependent Variable: H



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) VAR4 T
1 1 2,879 1,000 ,00 ,00 ,00
2 ,121 4,883 ,01 ,00 ,03
3 7,557E-04 61,718 ,99 1,00 ,97
a Dependent Variable: H

EQUATION 9

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = h t var5/ STATISTICS = ALL/ DEPENDENT = h/
METHOD = ENTER.
Resources Memory Required 1548 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,02

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR5, T(a) , Enter
a All requested variables entered.
b Dependent Variable: H





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,901(a) ,812 ,811 1,25 ,812 748,368 2 347 ,000 159,337 ,191 3,000 170,911
a Predictors: (Constant), VAR5, T

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2339,649 2 1169,825 748,368 ,000(a)
Residual 542,419 347 1,563

Total 2882,069 349


a Predictors: (Constant), VAR5, T
b Dependent Variable: H



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 9,364 ,320

29,275 ,000 8,735 9,993




T ,152 ,007 ,817 ,037 21,887 ,000 ,139 ,166 ,899 ,762 ,510 ,389 2,569
VAR5 -6,925 2,472 -,105 ,037 -2,801 ,005 -11,788 -2,063 -,743 -,149 -,065 ,389 2,569
a Dependent Variable: H

Coefficient Correlations(a)
Model VAR5 T
1 Correlations VAR5 1,000 ,781
T ,781 1,000
Covariances VAR5 6,112 1,345E-02
T 1,345E-02 4,846E-05
a Dependent Variable: H

Swept Correlation Matrix(a)

Columns
Model Rows VAR5 T H
1 VAR5 2,569(xx) 2,007 ,105(xy)
T 2,007 2,569(xx) -,817(xy)
H -,105(yx) ,817(yx) ,188(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: H



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) T VAR5
1 1 2,418 1,000 ,01 ,01 ,02
2 ,556 2,085 ,00 ,06 ,16
3 2,592E-02 9,658 ,99 ,92 ,82
a Dependent Variable: H

EQUATION 10

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = h var5 var6/ STATISTICS = ALL/ DEPENDENT = h/
METHOD = ENTER.
Resources Memory Required 1548 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,02

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR6, VAR5(a) , Enter
a All requested variables entered.
b Dependent Variable: H





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,857(a) ,734 ,732 1,49 ,734 477,897 2 347 ,000 280,886 ,271 3,000 292,460
a Predictors: (Constant), VAR6, VAR5

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2114,428 2 1057,214 477,897 ,000(a)
Residual 767,640 347 2,212

Total 2882,069 349


a Predictors: (Constant), VAR6, VAR5
b Dependent Variable: H



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 17,391 ,156

111,423 ,000 17,084 17,698




VAR5 -89,173 3,181 -1,346 ,048 -28,037 ,000 -95,429 -82,918 -,743 -,833 -,777 ,333 3,004
VAR6 149,818 9,738 ,739 ,048 15,384 ,000 130,664 168,971 -,361 ,637 ,426 ,333 3,004
a Dependent Variable: H

Coefficient Correlations(a)
Model VAR6 VAR5
1 Correlations VAR6 1,000 -,817
VAR5 -,817 1,000
Covariances VAR6 94,835 -25,298
VAR5 -25,298 10,116
a Dependent Variable: H

Swept Correlation Matrix(a)

Columns
Model Rows VAR6 VAR5 H
1 VAR6 3,004(xx) -2,454 -,739(xy)
VAR5 -2,454 3,004(xx) 1,346(xy)
H ,739(yx) -1,346(yx) ,266(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: H



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) VAR5 VAR6
1 1 2,237 1,000 ,03 ,03 ,04
2 ,685 1,807 ,18 ,00 ,23
3 7,805E-02 5,353 ,79 ,97 ,73
a Dependent Variable: H

EQUATION 11

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = h var5/ STATISTICS = ALL/ DEPENDENT = h/
METHOD = ENTER.
Resources Memory Required 1348 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR5(a) , Enter
a All requested variables entered.
b Dependent Variable: H





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,743(a) ,552 ,551 1,93 ,552 428,752 1 348 ,000 460,894 ,453 2,000 468,610
a Predictors: (Constant), VAR5

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 1590,845 1 1590,845 428,752 ,000(a)
Residual 1291,223 348 3,710

Total 2882,069 349


a Predictors: (Constant), VAR5
b Dependent Variable: H



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 15,971 ,163

97,984 ,000 15,650 16,291




VAR5 -49,208 2,376 -,743 ,036 -20,706 ,000 -53,882 -44,534 -,743 -,743 -,743 1,000 1,000
a Dependent Variable: H

Coefficient Correlations(a)
Model VAR5
1 Correlations VAR5 1,000
Covariances VAR5 5,648
a Dependent Variable: H

Swept Correlation Matrix(a)

Columns
Model Rows VAR5 H
1 VAR5 1,000(xx) ,743(xy)
H -,743(yx) ,448(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: H



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) VAR5
1 1 1,775 1,000 ,11 ,11
2 ,225 2,810 ,89 ,89
a Dependent Variable: H

EQUATION 12

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = h var6/ STATISTICS = ALL/ DEPENDENT = h/
METHOD = ENTER.
Resources Memory Required 1348 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR6(a) , Enter
a All requested variables entered.
b Dependent Variable: H





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,361(a) ,130 ,128 2,68 ,130 52,120 1 348 ,000 693,069 ,880 2,000 700,785
a Predictors: (Constant), VAR6

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 375,419 1 375,419 52,120 ,000(a)
Residual 2506,650 348 7,203

Total 2882,069 349


a Predictors: (Constant), VAR6
b Dependent Variable: H



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 13,699 ,151

90,613 ,000 13,401 13,996




VAR6 -73,193 10,138 -,361 ,050 -7,219 ,000 -93,133 -53,253 -,361 -,361 -,361 1,000 1,000
a Dependent Variable: H

Coefficient Correlations(a)
Model VAR6
1 Correlations VAR6 1,000
Covariances VAR6 102,786
a Dependent Variable: H

Swept Correlation Matrix(a)

Columns
Model Rows VAR6 H
1 VAR6 1,000(xx) ,361(xy)
H -,361(yx) ,870(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: H



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) VAR6
1 1 1,315 1,000 ,34 ,34
2 ,685 1,386 ,66 ,66
a Dependent Variable: H

EQUATION 13

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = h t var7/ STATISTICS = ALL/ DEPENDENT = h/
METHOD = ENTER.
Resources Memory Required 1548 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR7, T(a) , Enter
a All requested variables entered.
b Dependent Variable: H





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,903(a) ,815 ,814 1,24 ,815 762,855 2 347 ,000 153,880 ,188 3,000 165,454
a Predictors: (Constant), VAR7, T

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2348,041 2 1174,021 762,855 ,000(a)
Residual 534,027 347 1,539

Total 2882,069 349


a Predictors: (Constant), VAR7, T
b Dependent Variable: H



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 5,782 ,771

7,501 ,000 4,266 7,298




T ,110 ,016 ,592 ,087 6,827 ,000 ,079 ,142 ,899 ,344 ,158 ,071 14,093
VAR7 1,392 ,380 ,318 ,087 3,664 ,000 ,645 2,140 ,889 ,193 ,085 ,071 14,093
a Dependent Variable: H

Coefficient Correlations(a)
Model VAR7 T
1 Correlations VAR7 1,000 -,964
T -,964 1,000
Covariances VAR7 ,144 -5,927E-03
T -5,927E-03 2,618E-04
a Dependent Variable: H

Swept Correlation Matrix(a)

Columns
Model Rows VAR7 T H
1 VAR7 14,093(xx) -13,584 -,318(xy)
T -13,584 14,093(xx) -,592(xy)
H ,318(yx) ,592(yx) ,185(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: H



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) T VAR7
1 1 2,877 1,000 ,00 ,00 ,00
2 ,121 4,878 ,03 ,07 ,00
3 1,875E-03 39,169 ,97 ,92 1,00
a Dependent Variable: H

EQUATION 14

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = h var7/ STATISTICS = ALL/ DEPENDENT = h/
METHOD = ENTER.
Resources Memory Required 1348 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR7(a) , Enter
a All requested variables entered.
b Dependent Variable: H





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,889(a) ,790 ,789 1,32 ,790 1307,692 1 348 ,000 195,995 ,213 2,000 203,711
a Predictors: (Constant), VAR7

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2276,304 1 2276,304 1307,692 ,000(a)
Residual 605,765 348 1,741

Total 2882,069 349


a Predictors: (Constant), VAR7
b Dependent Variable: H



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 1,018 ,348

2,922 ,004 ,333 1,703




VAR7 3,893 ,108 ,889 ,025 36,162 ,000 3,682 4,105 ,889 ,889 ,889 1,000 1,000
a Dependent Variable: H

Coefficient Correlations(a)
Model VAR7
1 Correlations VAR7 1,000
Covariances VAR7 1,159E-02
a Dependent Variable: H

Swept Correlation Matrix(a)

Columns
Model Rows VAR7 H
1 VAR7 1,000(xx) -,889(xy)
H ,889(yx) ,210(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: H



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) VAR7
1 1 1,979 1,000 ,01 ,01
2 2,071E-02 9,777 ,99 ,99
a Dependent Variable: H

EQUATION 15

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = h var7 var8/ STATISTICS = ALL/ DEPENDENT = h/
METHOD = ENTER.
Resources Memory Required 1548 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR8, VAR7(a) , Enter
a All requested variables entered.
b Dependent Variable: H





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,902(a) ,814 ,812 1,24 ,814 756,843 2 347 ,000 156,134 ,190 3,000 167,708
a Predictors: (Constant), VAR8, VAR7

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2344,591 2 1172,295 756,843 ,000(a)
Residual 537,478 347 1,549

Total 2882,069 349


a Predictors: (Constant), VAR8, VAR7
b Dependent Variable: H



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 9,760 1,357

7,192 ,000 7,091 12,429




VAR7 -2,282 ,936 -,521 ,214 -2,439 ,015 -4,122 -,441 ,889 -,130 -,057 ,012 84,848
VAR8 1,034 ,156 1,418 ,214 6,640 ,000 ,728 1,340 ,900 ,336 ,154 ,012 84,848
a Dependent Variable: H

Coefficient Correlations(a)
Model VAR8 VAR7
1 Correlations VAR8 1,000 -,994
VAR7 -,994 1,000
Covariances VAR8 2,425E-02 -,145
VAR7 -,145 ,875
a Dependent Variable: H

Swept Correlation Matrix(a)

Columns
Model Rows VAR8 VAR7 H
1 VAR8 84,848(xx) -84,346 -1,418(xy)
VAR7 -84,346 84,848(xx) ,521(xy)
H 1,418(yx) -,521(yx) ,186(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: H



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) VAR7 VAR8
1 1 2,935 1,000 ,00 ,00 ,00
2 6,430E-02 6,757 ,02 ,00 ,01
3 3,169E-04 96,247 ,98 1,00 ,99
a Dependent Variable: H

EQUATION 16

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = var10 var7/ STATISTICS = ALL/ DEPENDENT = var10/
METHOD = ENTER.
Resources Memory Required 1348 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR7(a) , Enter
a All requested variables entered.
b Dependent Variable: VAR10





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,917(a) ,842 ,841 8,752E-02 ,842 1851,638 1 348 ,000 -1703,166 ,160 2,000 -1695,450
a Predictors: (Constant), VAR7

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 14,182 1 14,182 1851,638 ,000(a)
Residual 2,665 348 7,659E-03

Total 16,847 349


a Predictors: (Constant), VAR7
b Dependent Variable: VAR10



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 1,595 ,023

69,006 ,000 1,549 1,640




VAR7 ,307 ,007 ,917 ,021 43,031 ,000 ,293 ,321 ,917 ,917 ,917 1,000 1,000
a Dependent Variable: VAR10

Coefficient Correlations(a)
Model VAR7
1 Correlations VAR7 1,000
Covariances VAR7 5,101E-05
a Dependent Variable: VAR10

Swept Correlation Matrix(a)

Columns
Model Rows VAR7 VAR10
1 VAR7 1,000(xx) -,917(xy)
VAR10 ,917(yx) ,158(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: VAR10



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) VAR7
1 1 1,979 1,000 ,01 ,01
2 2,071E-02 9,777 ,99 ,99
a Dependent Variable: VAR10

EQUATION 17

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = var10 var7 var8/ STATISTICS = ALL/ DEPENDENT = var10/
METHOD = ENTER.
Resources Memory Required 1548 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR8, VAR7(a) , Enter
a All requested variables entered.
b Dependent Variable: VAR10





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,921(a) ,848 ,847 8,587E-02 ,848 968,830 2 347 ,000 -1715,446 ,155 3,000 -1703,873
a Predictors: (Constant), VAR8, VAR7

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 14,288 2 7,144 968,830 ,000(a)
Residual 2,559 347 7,374E-03

Total 16,847 349


a Predictors: (Constant), VAR8, VAR7
b Dependent Variable: VAR10



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 1,940 ,094

20,719 ,000 1,756 2,124




VAR7 6,338E-02 ,065 ,189 ,193 ,982 ,327 -,064 ,190 ,917 ,053 ,021 ,012 84,848
VAR8 4,084E-02 ,011 ,733 ,193 3,801 ,000 ,020 ,062 ,921 ,200 ,080 ,012 84,848
a Dependent Variable: VAR10

Coefficient Correlations(a)
Model VAR8 VAR7
1 Correlations VAR8 1,000 -,994
VAR7 -,994 1,000
Covariances VAR8 1,154E-04 -6,894E-04
VAR7 -6,894E-04 4,167E-03
a Dependent Variable: VAR10

Swept Correlation Matrix(a)

Columns
Model Rows VAR8 VAR7 VAR10
1 VAR8 84,848(xx) -84,346 -,733(xy)
VAR7 -84,346 84,848(xx) -,189(xy)
VAR10 ,733(yx) ,189(yx) ,152(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: VAR10



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) VAR7 VAR8
1 1 2,935 1,000 ,00 ,00 ,00
2 6,430E-02 6,757 ,02 ,00 ,01
3 3,169E-04 96,247 ,98 1,00 ,99
a Dependent Variable: VAR10

EQUATION 18

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = var10 var7 var9/ STATISTICS = ALL/ DEPENDENT = var10/
METHOD = ENTER.
Resources Memory Required 1548 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR9, VAR7(a) , Enter
a All requested variables entered.
b Dependent Variable: VAR10





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,921(a) ,847 ,847 8,606E-02 ,847 963,956 2 347 ,000 -1713,950 ,155 3,000 -1702,376
a Predictors: (Constant), VAR9, VAR7

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 14,277 2 7,139 963,956 ,000(a)
Residual 2,570 347 7,405E-03

Total 16,847 349


a Predictors: (Constant), VAR9, VAR7
b Dependent Variable: VAR10



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 1,836 ,071

25,884 ,000 1,696 1,975




VAR7 ,179 ,037 ,533 ,109 4,893 ,000 ,107 ,250 ,917 ,254 ,103 ,037 27,019
VAR9 4,656E-03 ,001 ,392 ,109 3,593 ,000 ,002 ,007 ,915 ,189 ,075 ,037 27,019
a Dependent Variable: VAR10

Coefficient Correlations(a)
Model VAR9 VAR7
1 Correlations VAR9 1,000 -,981
VAR7 -,981 1,000
Covariances VAR9 1,680E-06 -4,643E-05
VAR7 -4,643E-05 1,333E-03
a Dependent Variable: VAR10

Swept Correlation Matrix(a)

Columns
Model Rows VAR9 VAR7 VAR10
1 VAR9 27,019(xx) -26,515 -,392(xy)
VAR7 -26,515 27,019(xx) -,533(xy)
VAR10 ,392(yx) ,533(yx) ,153(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: VAR10



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) VAR7 VAR9
1 1 2,887 1,000 ,00 ,00 ,00
2 ,112 5,068 ,02 ,00 ,04
3 9,841E-04 54,161 ,98 1,00 ,96
a Dependent Variable: VAR10

EQUATION 19

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = var10 var5/ STATISTICS = ALL/ DEPENDENT = var10/
METHOD = ENTER.
Resources Memory Required 1348 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR5(a) , Enter
a All requested variables entered.
b Dependent Variable: VAR10





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,789(a) ,623 ,622 ,1352 ,623 574,205 1 348 ,000 -1398,917 ,382 2,000 -1391,202
a Predictors: (Constant), VAR5

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 10,490 1 10,490 574,205 ,000(a)
Residual 6,357 348 1,827E-02

Total 16,847 349


a Predictors: (Constant), VAR5
b Dependent Variable: VAR10



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 2,781 ,011

243,140 ,000 2,758 2,803




VAR5 -3,996 ,167 -,789 ,033 -23,963 ,000 -4,324 -3,668 -,789 -,789 -,789 1,000 1,000
a Dependent Variable: VAR10

Coefficient Correlations(a)
Model VAR5
1 Correlations VAR5 1,000
Covariances VAR5 2,781E-02
a Dependent Variable: VAR10

Swept Correlation Matrix(a)

Columns
Model Rows VAR5 VAR10
1 VAR5 1,000(xx) ,789(xy)
VAR10 -,789(yx) ,377(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: VAR10



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) VAR5
1 1 1,775 1,000 ,11 ,11
2 ,225 2,810 ,89 ,89
a Dependent Variable: VAR10

EQUATION 20

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = var10 var5 var6/ STATISTICS = ALL/ DEPENDENT = var10/
METHOD = ENTER.
Resources Memory Required 1548 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR6, VAR5(a) , Enter
a All requested variables entered.
b Dependent Variable: VAR10





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,902(a) ,813 ,812 9,534E-02 ,813 753,156 2 347 ,000 -1642,211 ,190 3,000 -1630,638
a Predictors: (Constant), VAR6, VAR5

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 13,693 2 6,846 753,156 ,000(a)
Residual 3,154 347 9,090E-03

Total 16,847 349


a Predictors: (Constant), VAR6, VAR5
b Dependent Variable: VAR10



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 2,892 ,010

289,037 ,000 2,872 2,911




VAR5 -7,122 ,204 -1,406 ,040 -34,931 ,000 -7,523 -6,721 -,789 -,882 -,811 ,333 3,004
VAR6 11,718 ,624 ,756 ,040 18,771 ,000 10,490 12,946 -,393 ,710 ,436 ,333 3,004
a Dependent Variable: VAR10

Coefficient Correlations(a)
Model VAR6 VAR5
1 Correlations VAR6 1,000 -,817
VAR5 -,817 1,000
Covariances VAR6 ,390 -,104
VAR5 -,104 4,157E-02
a Dependent Variable: VAR10

Swept Correlation Matrix(a)

Columns
Model Rows VAR6 VAR5 VAR10
1 VAR6 3,004(xx) -2,454 -,756(xy)
VAR5 -2,454 3,004(xx) 1,406(xy)
VAR10 ,756(yx) -1,406(yx) ,187(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: VAR10



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) VAR5 VAR6
1 1 2,237 1,000 ,03 ,03 ,04
2 ,685 1,807 ,18 ,00 ,23
3 7,805E-02 5,353 ,79 ,97 ,73
a Dependent Variable: VAR10

EQUATION 21

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = var10 var3 t/ STATISTICS = ALL/ DEPENDENT = var10/
METHOD = ENTER.
Resources Memory Required 1548 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 T(a) , Enter
a Tolerance = ,000 limits reached.
b Dependent Variable: VAR10





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,904(a) ,817 ,816 9,414E-02 ,817 1552,815 1 348 ,000 -1652,062 ,185 2,000 -1644,346(b)
a Predictors: (Constant), T
b Multicollinearity is present. The following variables were not included in the full model used for calculation of the Mallows' Prediction Criterion: VAR3

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 13,763 1 13,763 1552,815 ,000(a)
Residual 3,084 348 8,863E-03

Total 16,847 349


a Predictors: (Constant), T
b Dependent Variable: VAR10



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 2,200 ,011

207,044 ,000 2,179 2,220




T 1,289E-02 ,000 ,904 ,023 39,406 ,000 ,012 ,014 ,904 ,904 ,904 1,000 1,000
a Dependent Variable: VAR10





Excluded Variables(b)

Beta In t Sig. Partial Correlation Collinearity Statistics
Model Tolerance VIF Minimum Tolerance
1 VAR3 ,(a) , , , ,000 , ,000
a Predictors in the Model: (Constant), T
b Dependent Variable: VAR10

Coefficient Correlations(a)
Model T
1 Correlations T 1,000
Covariances T 1,070E-07
a Dependent Variable: VAR10

Swept Correlation Matrix(a)

Columns
Model Rows T VAR10 VAR3
1 T 1,000(xx) -,904(xy) -1,000(x~)
VAR10 ,904(yx) ,183(yy) ,000(y~)
VAR3 1,000(~x) ,000(~y) ,000(~~)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
x~ Row variable is an independent variable, column variable is an excluded independent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
y~ Row variable is the dependent variable, column variable is an excluded independent variable.
~x Row variable is an excluded independent variable, column variable is an independent variable.
~y Row variable is an excluded independent variable, column variable is the dependent variable.
~~ This variable is an excluded predictor.
a Dependent Variable: VAR10



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) T
1 1 1,881 1,000 ,06 ,06
2 ,119 3,970 ,94 ,94
a Dependent Variable: VAR10

EQUATION 22

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = var10 var4 t/ STATISTICS = ALL/ DEPENDENT = var10/
METHOD = ENTER.
Resources Memory Required 1548 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 T, VAR4(a) , Enter
a All requested variables entered.
b Dependent Variable: VAR10





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,921(a) ,848 ,847 8,597E-02 ,848 966,255 2 347 ,000 -1714,657 ,155 3,000 -1703,083
a Predictors: (Constant), T, VAR4

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 14,282 2 7,141 966,255 ,000(a)
Residual 2,565 347 7,391E-03

Total 16,847 349


a Predictors: (Constant), T, VAR4
b Dependent Variable: VAR10



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 1,511 ,083

18,267 ,000 1,348 1,673




VAR4 ,375 ,045 1,031 ,123 8,386 ,000 ,287 ,463 ,921 ,411 ,176 ,029 34,483
T -1,605E-03 ,002 -,113 ,123 -,915 ,361 -,005 ,002 ,904 -,049 -,019 ,029 34,483
a Dependent Variable: VAR10

Coefficient Correlations(a)
Model T VAR4
1 Correlations T 1,000 -,985
VAR4 -,985 1,000
Covariances T 3,076E-06 -7,730E-05
VAR4 -7,730E-05 2,001E-03
a Dependent Variable: VAR10

Swept Correlation Matrix(a)

Columns
Model Rows T VAR4 VAR10
1 T 34,483(xx) -33,979 ,113(xy)
VAR4 -33,979 34,483(xx) -1,031(xy)
VAR10 -,113(yx) 1,031(yx) ,152(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: VAR10



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) VAR4 T
1 1 2,879 1,000 ,00 ,00 ,00
2 ,121 4,883 ,01 ,00 ,03
3 7,557E-04 61,718 ,99 1,00 ,97
a Dependent Variable: VAR10

EQUATION 23

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = var10 var11/ STATISTICS = ALL/ DEPENDENT = var10/
METHOD = ENTER.
Resources Memory Required 1348 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR11(a) , Enter
a All requested variables entered.
b Dependent Variable: VAR10





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,885(a) ,784 ,783 ,1022 ,784 1263,759 1 348 ,000 -1594,327 ,218 2,000 -1586,611
a Predictors: (Constant), VAR11

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 13,209 1 13,209 1263,759 ,000(a)
Residual 3,637 348 1,045E-02

Total 16,847 349


a Predictors: (Constant), VAR11
b Dependent Variable: VAR10



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 3,110 ,016

192,218 ,000 3,078 3,141




VAR11 -2,494 ,070 -,885 ,025 -35,549 ,000 -2,632 -2,356 -,885 -,885 -,885 1,000 1,000
a Dependent Variable: VAR10

Coefficient Correlations(a)
Model VAR11
1 Correlations VAR11 1,000
Covariances VAR11 4,922E-03
a Dependent Variable: VAR10

Swept Correlation Matrix(a)

Columns
Model Rows VAR11 VAR10
1 VAR11 1,000(xx) ,885(xy)
VAR10 -,885(yx) ,216(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: VAR10



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) VAR11
1 1 1,941 1,000 ,03 ,03
2 5,879E-02 5,746 ,97 ,97
a Dependent Variable: VAR10

EQUATION 24

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = var10 t var11/ STATISTICS = ALL/ DEPENDENT = var10/
METHOD = ENTER.
Resources Memory Required 1548 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR11, T(a) , Enter
a All requested variables entered.
b Dependent Variable: VAR10





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,918(a) ,843 ,842 8,732E-02 ,843 931,348 2 347 ,000 -1703,769 ,160 3,000 -1692,196
a Predictors: (Constant), VAR11, T

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 14,201 2 7,101 931,348 ,000(a)
Residual 2,646 347 7,624E-03

Total 16,847 349


a Predictors: (Constant), VAR11, T
b Dependent Variable: VAR10



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 2,567 ,049

51,879 ,000 2,470 2,665




T 8,053E-03 ,001 ,565 ,050 11,406 ,000 ,007 ,009 ,904 ,522 ,243 ,185 5,416
VAR11 -1,058 ,139 -,376 ,050 -7,586 ,000 -1,332 -,784 -,885 -,377 -,161 ,185 5,416
a Dependent Variable: VAR10

Coefficient Correlations(a)
Model VAR11 T
1 Correlations VAR11 1,000 ,903
T ,903 1,000
Covariances VAR11 1,945E-02 8,889E-05
T 8,889E-05 4,984E-07
a Dependent Variable: VAR10

Swept Correlation Matrix(a)

Columns
Model Rows VAR11 T VAR10
1 VAR11 5,416(xx) 4,891 ,376(xy)
T 4,891 5,416(xx) -,565(xy)
VAR10 -,376(yx) ,565(yx) ,157(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: VAR10



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) T VAR11
1 1 2,675 1,000 ,00 ,00 ,00
2 ,319 2,896 ,00 ,07 ,03
3 5,539E-03 21,977 1,00 ,92 ,97
a Dependent Variable: VAR10

EQUATION 25

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = var10 var7 var8/ ORIGIN/ STATISTICS = ALL/ DEPENDENT = var10/
METHOD = ENTER.
Resources Memory Required 1548 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b,c)
Model Variables Entered Variables Removed Method
1 VAR8, VAR7(a) , Enter
a All requested variables entered.
b Dependent Variable: VAR10
c Linear Regression through the Origin





Model Summary

R R Square(a) Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,999(b) ,998 ,998 ,1283 ,998 70514,690 2 348 ,000 -1435,640 ,002 2,000 -1427,924
a For regression through the origin (the no-intercept model), R Square measures the proportion of the variability in the dependent variable about the origin explained by regression. This CANNOT be compared to R Square for models which include an intercept.
b Predictors: VAR8, VAR7

ANOVA(c,d)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2319,710 2 1159,855 70514,690 ,000(a)
Residual 5,724 348 1,645E-02

Total 2325,434(b) 350


a Predictors: VAR8, VAR7
b This total sum of squares is not corrected for the constant because the constant is zero for regression through the origin.
c Dependent Variable: VAR10
d Linear Regression through the Origin



Coefficients(a,b)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 VAR7 1,388 ,013 1,742 ,017 103,319 ,000 1,361 1,414 ,992 ,984 ,275 ,025 40,185
VAR8 -,175 ,004 -,760 ,017 -45,070 ,000 -,183 -,167 ,960 -,924 -,120 ,025 40,185
a Dependent Variable: VAR10
b Linear Regression through the Origin

Coefficient Correlations(a,b)
Model VAR8 VAR7
1 Correlations VAR8 1,000 -,987
VAR7 -,987 1,000
Covariances VAR8 1,510E-05 -5,154E-05
VAR7 -5,154E-05 1,804E-04
a Dependent Variable: VAR10
b Linear Regression through the Origin

Swept Correlation Matrix(a,b)

Columns
Model Rows VAR8 VAR7 VAR10
1 VAR8 40,185(xx) -39,682 ,760(xy)
VAR7 -39,682 40,185(xx) -1,742(xy)
VAR10 -,760(yx) 1,742(yx) ,002(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: VAR10
b Linear Regression through the Origin



Collinearity Diagnostics(a,b)

Eigenvalue Condition Index Variance Proportions
Model Dimension VAR7 VAR8
1 1 1,987 1,000 ,01 ,01
2 1,252E-02 12,599 ,99 ,99
a Dependent Variable: VAR10
b Linear Regression through the Origin

EQUATION 26

Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = var10 var3 var5 var6/ STATISTICS = ALL/ DEPENDENT = var10/
METHOD = ENTER.
Resources Memory Required 1788 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR6, VAR3, VAR5(a) , Enter
a All requested variables entered.
b Dependent Variable: VAR10





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,925(a) ,855 ,854 8,392E-02 ,855 681,969 3 346 ,000 -1730,512 ,148 4,000 -1715,080
a Predictors: (Constant), VAR6, VAR3, VAR5

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 14,410 3 4,803 681,969 ,000(a)
Residual 2,437 346 7,043E-03

Total 16,847 349


a Predictors: (Constant), VAR6, VAR3, VAR5
b Dependent Variable: VAR10



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 2,534 ,037

69,274 ,000 2,462 2,605




VAR3 6,949E-03 ,001 ,487 ,048 10,092 ,000 ,006 ,008 ,904 ,477 ,206 ,179 5,578
VAR5 -3,592 ,393 -,709 ,078 -9,137 ,000 -4,365 -2,819 -,789 -,441 -,187 ,069 14,415
VAR6 5,716 ,810 ,369 ,052 7,059 ,000 4,123 7,308 -,393 ,355 ,144 ,153 6,524
a Dependent Variable: VAR10

Coefficient Correlations(a)
Model VAR6 VAR3 VAR5
1 Correlations VAR6 1,000 -,735 -,907
VAR3 -,735 1,000 ,890
VAR5 -,907 ,890 1,000
Covariances VAR6 ,656 -4,096E-04 -,289
VAR3 -4,096E-04 4,742E-07 2,409E-04
VAR5 -,289 2,409E-04 ,155
a Dependent Variable: VAR10

Swept Correlation Matrix(a)

Columns
Model Rows VAR6 VAR3 VAR5 VAR10
1 VAR6 6,524(xx) -4,431 -8,791 -,369(xy)
VAR3 -4,431 5,578(xx) 7,978 -,487(xy)
VAR5 -8,791 7,978 14,415(xx) ,709(xy)
VAR10 ,369(yx) ,487(yx) -,709(yx) ,145(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: VAR10



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) VAR3 VAR5 VAR6
1 1 2,685 1,000 ,00 ,00 ,00 ,01
2 1,097 1,565 ,00 ,01 ,00 ,06
3 ,210 3,574 ,00 ,05 ,04 ,21
4 7,773E-03 18,586 ,99 ,93 ,95 ,72
a Dependent Variable: VAR10

EQUATION 27

Non-linear Regression

Notes
Output Created 19-OCT-2004 09:13:10
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Syntax MODEL PROGRAM b1=1 b2=1 .
COMPUTE PRED_ = b1*(1-exp(-b2*t)).
NLR h /PRED PRED_.
Resources Elapsed Time 0:00:06,49

All the derivatives will be calculated numerically.





 Iteration  Residual SS          B1          B2

     1      56304,48513  1,00000000  1,00000000

>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 99  Current case: 10  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 99  Current case: 11  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 99  Current case: 30  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 99  Current case: 35  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 99  Current case: 37  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 99  Current case: 39  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 99  Current case: 40  Current splitfile group: 1






>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 99  Current case: 44  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 99  Current case: 45  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 99  Current case: 46  Current splitfile group: 1


>Warning # 92
>The limit of MXWARNS warnings in this data pass has been printed.  Further
>warnings have been suppressed.

     1.1     1,3261+295  13,3808511  -16,858929
     1.2    46073,64506  2,24552789  5,01211637
     2      46073,64506  2,24552789  5,01211637
     2.1    28864,54804  4,73827443  5,01544690
     3      28864,54804  4,73827443  5,01544690
     3.1    7495,299821  9,72376750  5,00982306
     4      7495,299821  9,72376750  5,00982306
     4.1    ,0000000000  13,3557476  -679,87876

Run stopped after 9 model evaluations and 4 derivative evaluations.

>Error # 16623.  Command name: NLR
>The predicted value is missing or the case weight is missing or not
>positive for all cases.  Perhaps a variable needed for calculating the
>predicted value or the case weight was left off the WITH variable list.
>This command not executed.



EQUATION 28

Non-linear Regression

Notes
Output Created 19-OCT-2004 09:13:17
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Syntax MODEL PROGRAM b1=1 b2=1 b3=1 .
COMPUTE PRED_1 = b1*((1-exp((-b2*t))**b3)).
NLR h /PRED PRED_1 .
Resources Elapsed Time 0:00:00,21

All the derivatives will be calculated numerically.





 Iteration  Residual SS          B1          B2          B3

     1      56304,48513  1,00000000  1,00000000  1,00000000

>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 104  Current case: 1  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 104  Current case: 2  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 104  Current case: 3  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 104  Current case: 4  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 104  Current case: 5  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 104  Current case: 6  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 104  Current case: 7  Current splitfile group: 1






>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 104  Current case: 8  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 104  Current case: 9  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 104  Current case: 10  Current splitfile group: 1


>Warning # 92
>The limit of MXWARNS warnings in this data pass has been printed.  Further
>warnings have been suppressed.

     1.1    ,0000000000  13,3808511  -4880,5471  4864,68814

Run stopped after 2 model evaluations and 1 derivative evaluations.

>Error # 16623.  Command name: NLR
>The predicted value is missing or the case weight is missing or not
>positive for all cases.  Perhaps a variable needed for calculating the
>predicted value or the case weight was left off the WITH variable list.
>This command not executed.



EQUATION 29

Non-linear Regression

Notes
Output Created 19-OCT-2004 09:13:17
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Syntax MODEL PROGRAM b1=1 b2=1 b3=1 .
COMPUTE PRED_2 = b1*(1-exp(-b2*(t**b3))).
NLR h /PRED PRED_2 .
Resources Elapsed Time 0:00:00,27

All the derivatives will be calculated numerically.





 Iteration  Residual SS          B1          B2          B3

     1      56304,48513  1,00000000  1,00000000  1,00000000
     1.1    65300,00000  14,1202519  874,019609  -1275,5330
     1.2    65300,00000  11,9328413  29,6808164  -60,239628
     1.3    23053,94931  5,76258334  4,79436848  17,7852736
     2      23053,94931  5,76258334  4,79436848  17,7852736
     2.1    2882,068571  13,3542857  4,79436848  17,7852736
     3      2882,068571  13,3542857  4,79436848  17,7852736

Run stopped after 7 model evaluations and 3 derivative evaluations.
Iterations have been stopped because the magnitude of the largest correlation
between the residuals and any derivative column is at most RCON = 1,000E-08


Nonlinear Regression Summary Statistics     Dependent Variable H

  Source                 DF  Sum of Squares  Mean Square

  Regression              3    62417,93143    20805,97714
  Residual              347     2882,06857        8,30567
  Uncorrected Total     350    65300,00000

  (Corrected Total)     349     2882,06857

  R squared = 1 - Residual SS / Corrected SS =     ,00000

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  B1        13,354285714   ,154047053 13,051302272 13,657269156
  B2         4,794368479   ,000000000  4,794368479  4,794368479
  B3        17,785273625   ,000000000 17,785273625 17,785273625

  Asymptotic Correlation Matrix of the Parameter Estimates

                  B1        B2        B3

  B1          1,0000     ,         ,
  B2           ,        1,0000     ,
  B3           ,         ,        1,0000


EQUATION 30

Non-linear Regression

Notes
Output Created 19-OCT-2004 09:13:17
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Syntax MODEL PROGRAM b0=1 b1=1 b2=1 .
COMPUTE PRED_3 = (t**2)/(b0+b1*t+b2*(t**2)).
NLR h /PRED PRED_3 .
Resources Elapsed Time 0:00:00,56

All the derivatives will be calculated numerically.





 Iteration  Residual SS          B0          B1          B2

     1      56695,37222  1,00000000  1,00000000  1,00000000
     1.1    66040,12767  -233,44380  85,1390603  -16,070424
     1.2    66323,88069  44,8018309  -45,485143  -7,3851696
     1.3    67878,91939  -87,488691  -32,432029  -2,2643847
     1.4    81453,11964  -49,126212  -12,615791  -,13659136
     1.5    52281,48470  -9,5620989  -1,6172511  ,793181153
     2      52281,48470  -9,5620989  -1,6172511  ,793181153
     2.1    47013,11166  -13,647185  -2,3546753  ,658497370
     3      47013,11166  -13,647185  -2,3546753  ,658497370
     3.1    46483,46699  -12,980733  -2,3248551  ,635355205
     4      46483,46699  -12,980733  -2,3248551  ,635355205
     4.1    45632,57425  -11,770244  -2,2506052  ,603509865
     5      45632,57425  -11,770244  -2,2506052  ,603509865
     5.1    43569,07116  -9,3955245  -2,1082624  ,534077369
     6      43569,07116  -9,3955245  -2,1082624  ,534077369
     6.1    37910,34050  -4,6192118  -1,7828573  ,397292358
     7      37910,34050  -4,6192118  -1,7828573  ,397292358
     7.1    11113,82687  4,44272108  -1,0470925  ,141904147
     8      11113,82687  4,44272108  -1,0470925  ,141904147
     8.1    52456,01016  -5,4947791  1,53159122  -,00173651
     8.2    4471,065020  6,56156631  -,92745552  ,105816371
     9      4471,065020  6,56156631  -,92745552  ,105816371
     9.1    1201,204691  4,24600338  -,14537110  ,066853610
    10      1201,204691  4,24600338  -,14537110  ,066853610
    10.1    721,5089871  -3,2640792  ,875854059  ,044474729
    11      721,5089871  -3,2640792  ,875854059  ,044474729
    11.1    700,7083307  -5,3092553  1,16546943  ,038624920
    12      700,7083307  -5,3092553  1,16546943  ,038624920
    12.1    693,5395528  -4,0230797  1,00921540  ,041734322
    13      693,5395528  -4,0230797  1,00921540  ,041734322
    13.1    692,5334401  -4,7629250  1,09949946  ,039958699
    14      692,5334401  -4,7629250  1,09949946  ,039958699
    14.1    691,6376681  -4,2407767  1,03616768  ,041207310
    15      691,6376681  -4,2407767  1,03616768  ,041207310
    15.1    691,3865750  -4,5760771  1,07694915  ,040404298
    16      691,3865750  -4,5760771  1,07694915  ,040404298
    16.1    691,2297428  -4,3438248  1,04876139  ,040959820
    17      691,2297428  -4,3438248  1,04876139  ,040959820
    17.1    691,1720698  -4,4976665  1,06745617  ,040591589
    18      691,1720698  -4,4976665  1,06745617  ,040591589
    18.1    691,1416054  -4,3923745  1,05467276  ,040843481
    19      691,1416054  -4,3923745  1,05467276  ,040843481
    19.1    691,1289820  -4,4629492  1,06324616  ,040674589
    20      691,1289820  -4,4629492  1,06324616  ,040674589
    20.1    691,1228128  -4,4149465  1,05741716  ,040789437
    21      691,1228128  -4,4149465  1,05741716  ,040789437
    21.1    691,1201150  -4,4472829  1,06134483  ,040712059
    22      691,1201150  -4,4472829  1,06134483  ,040712059
    22.1    691,1188429  -4,4253549  1,05868189  ,040764525
    23      691,1188429  -4,4253549  1,05868189  ,040764525




    23.1    691,1182729  -4,4401584  1,06047985  ,040729103
    24      691,1182729  -4,4401584  1,06047985  ,040729103
    24.1    691,1180085  -4,4301340  1,05926244  ,040753089
    25      691,1180085  -4,4301340  1,05926244  ,040753089
    25.1    691,1178887  -4,4369088  1,06008525  ,040736878
    26      691,1178887  -4,4369088  1,06008525  ,040736878
    26.1    691,1178335  -4,4323241  1,05952846  ,040747848
    27      691,1178335  -4,4323241  1,05952846  ,040747848
    27.1    691,1178084  -4,4354238  1,05990492  ,040740431
    28      691,1178084  -4,4354238  1,05990492  ,040740431
    28.1    691,1177969  -4,4333267  1,05965023  ,040745449
    29      691,1177969  -4,4333267  1,05965023  ,040745449
    29.1    691,1177916  -4,4347449  1,05982247  ,040742056
    30      691,1177916  -4,4347449  1,05982247  ,040742056
    30.1    691,1177892  -4,4337858  1,05970599  ,040744350

    31      691,1177892  -4,4337858  1,05970599  ,040744350
    31.1    691,1177881  -4,4344343  1,05978474  ,040742799

Run stopped after 67 model evaluations and 31 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1,000E-08


Nonlinear Regression Summary Statistics     Dependent Variable H

  Source                 DF  Sum of Squares  Mean Square

  Regression              3    64608,88221    21536,29407
  Residual              347      691,11779        1,99169
  Uncorrected Total     350    65300,00000

  (Corrected Total)     349     2882,06857

  R squared = 1 - Residual SS / Corrected SS =     ,76020

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  B0        -4,434434261   ,505735231 -5,429126453 -3,439742069
  B1         1,059784744   ,067153840   ,927704958  1,191864529
  B2          ,040742799   ,001476668   ,037838452   ,043647145

  Asymptotic Correlation Matrix of the Parameter Estimates

                  B0        B1        B2

  B0          1,0000    -,9658     ,8891
  B1          -,9658    1,0000    -,9566
  B2           ,8891    -,9566    1,0000


EQUATION 31

Non-linear Regression

Notes
Output Created 19-OCT-2004 09:13:18
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Syntax MODEL PROGRAM b0=1 b1=1 b2=1 .
COMPUTE PRED_4 = t/(b0+b1*t+b2*(t**2)).
NLR h /PRED PRED_4 .
Resources Elapsed Time 0:00:00,41

All the derivatives will be calculated numerically.





 Iteration  Residual SS          B0          B1          B2

     1      64901,67836  1,00000000  1,00000000  1,00000000
     1.1    65304,09500  219,710462  -123,40439  -98,604803
     1.2    65307,77019  -12,027385  -129,74983  -46,510422
     1.3    65316,13013  -48,282314  -76,631271  -21,271337
     1.4    65335,13052  -32,734212  -39,072352  -9,4770047
     1.5    65380,09009  -17,600473  -19,020525  -4,0313815
     1.6    65556,91414  -7,4881605  -7,7218024  -1,1481855
     1.7    63741,82024  -1,4727693  -1,4820299  ,395093232
     2      63741,82024  -1,4727693  -1,4820299  ,395093232
     2.1    63127,90715  -2,6336486  -1,6895487  ,360598853
     3      63127,90715  -2,6336486  -1,6895487  ,360598853
     3.1    62233,34798  -3,5169142  -1,8157381  ,340693285
     4      62233,34798  -3,5169142  -1,8157381  ,340693285
     4.1    62208,62901  -3,4304587  -1,8149665  ,338100451
     5      62208,62901  -3,4304587  -1,8149665  ,338100451
     5.1    62165,91961  -3,2535622  -1,8097346  ,334178366
     6      62165,91961  -3,2535622  -1,8097346  ,334178366
     6.1    62075,23864  -2,9162587  -1,8020615  ,325788611
     7      62075,23864  -2,9162587  -1,8020615  ,325788611
     7.1    61866,28204  -2,1857307  -1,7833892  ,308365892
     8      61866,28204  -2,1857307  -1,7833892  ,308365892
     8.1    61350,92169  -,74246159  -1,7472040  ,273191113
     9      61350,92169  -,74246159  -1,7472040  ,273191113
     9.1    59943,84728  1,86985214  -1,6778263  ,209720151
    10      59943,84728  1,86985214  -1,6778263  ,209720151
    10.1    55159,58580  4,23028786  -1,1763945  ,089834586
    11      55159,58580  4,23028786  -1,1763945  ,089834586
    11.1    148603,3001  6,39808221  -1,0123018  ,037779529
    11.2    53699,78083  4,50899187  -1,1607425  ,086148490
    12      53699,78083  4,50899187  -1,1607425  ,086148490
    12.1    52206,04653  4,98218081  -1,1408192  ,076863446
    13      52206,04653  4,98218081  -1,1408192  ,076863446
    13.1    46761,36724  5,88596717  -1,1031398  ,057703115
    14      46761,36724  5,88596717  -1,1031398  ,057703115
    14.1    42388,92774  4,88911958  -,76987050  ,034660624
    15      42388,92774  4,88911958  -,76987050  ,034660624
    15.1    26522,49388  3,23878054  -,34409755  ,012711319
    16      26522,49388  3,23878054  -,34409755  ,012711319
    16.1    481236,5653  -2,6401460  ,486954653  -,01446210
    16.2    17162,98969  3,36527455  -,27142674  ,007866960
    17      17162,98969  3,36527455  -,27142674  ,007866960
    17.1    6709,004761  2,72489076  -,14306894  ,003680353
    18      6709,004761  2,72489076  -,14306894  ,003680353
    18.1    1086,415920  ,226435597  ,079225420  -,00061760
    19      1086,415920  ,226435597  ,079225420  -,00061760
    19.1    546,3992275  ,240285249  ,079489622  -,00050798
    20      546,3992275  ,240285249  ,079489622  -,00050798
    20.1    541,9058967  ,242490711  ,079102255  -,00048676
    21      541,9058967  ,242490711  ,079102255  -,00048676
    21.1    541,9052776  ,242107279  ,079145964  -,00048745




    22      541,9052776  ,242107279  ,079145964  -,00048745
    22.1    541,9052770  ,242092237  ,079147027  -,00048746

Run stopped after 52 model evaluations and 22 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1,000E-08


Nonlinear Regression Summary Statistics     Dependent Variable H

  Source                 DF  Sum of Squares  Mean Square

  Regression              3    64758,09472    21586,03157
  Residual              347      541,90528        1,56169
  Uncorrected Total     350    65300,00000

  (Corrected Total)     349     2882,06857

  R squared = 1 - Residual SS / Corrected SS =     ,81197

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  B0          ,242092237   ,029227959   ,184605985   ,299578489
  B1          ,079147027   ,002785256   ,073668918   ,084625136
  B2         -,000487460   ,000049318  -,000584460  -,000390460

  Asymptotic Correlation Matrix of the Parameter Estimates

                  B0        B1        B2

  B0          1,0000    -,9256     ,8539
  B1          -,9256    1,0000    -,9770
  B2           ,8539    -,9770    1,0000


EQUATION 32

Non-linear Regression

Notes
Output Created 19-OCT-2004 09:13:18
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Syntax MODEL PROGRAM b0=1 b1=1 .
COMPUTE PRED_5 = (t**2)/((b0+b1*t)**2).
NLR h /PRED PRED_5 .
Resources Elapsed Time 0:00:00,29

All the derivatives will be calculated numerically.





 Iteration  Residual SS          B0          B1

     1      57019,04220  1,00000000  1,00000000
     1.1    65046,94813  20,2735103  -7,1472878
     1.2    64596,18929  -26,521793  -2,6418111
     1.3    56289,56333  -16,309892  -,46058336
     2      56289,56333  -16,309892  -,46058336
     2.1    16553559,32  -6,7376574  ,083979527
     2.2    54685,47610  -15,437021  -,40991358
     3      54685,47610  -15,437021  -,40991358
     3.1    50553,57123  -13,265038  -,33559925
     4      50553,57123  -13,265038  -,33559925
     4.1    40371,17698  -9,6435065  -,25709756
     5      40371,17698  -9,6435065  -,25709756
     5.1    23193,60456  -6,5939025  -,19268746
     6      23193,60456  -6,5939025  -,19268746
     6.1    6849,445029  -4,1565774  -,15068691
     7      6849,445029  -4,1565774  -,15068691
     7.1    3283,350467  -2,5051838  -,18434434
     8      3283,350467  -2,5051838  -,18434434
     8.1    1117,493208  -,55190126  -,23880927
     9      1117,493208  -,55190126  -,23880927
     9.1    749,3639467  -,79442896  -,23555620
    10      749,3639467  -,79442896  -,23555620
    10.1    741,0573271  -,85184829  -,23378532
    11      741,0573271  -,85184829  -,23378532
    11.1    740,9690065  -,85809216  -,23356030
    12      740,9690065  -,85809216  -,23356030
    12.1    740,9682402  -,85867397  -,23353849
    13      740,9682402  -,85867397  -,23353849
    13.1    740,9682337  -,85872758  -,23353647

Run stopped after 29 model evaluations and 13 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1,000E-08






Nonlinear Regression Summary Statistics     Dependent Variable H

  Source                 DF  Sum of Squares  Mean Square

  Regression              2    64559,03177    32279,51588
  Residual              348      740,96823        2,12922
  Uncorrected Total     350    65300,00000

  (Corrected Total)     349     2882,06857

  R squared = 1 - Residual SS / Corrected SS =     ,74290

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  B0         -,858727576   ,032132097  -,921925119  -,795530032
  B1         -,233536470   ,001381226  -,236253071  -,230819869

  Asymptotic Correlation Matrix of the Parameter Estimates

                  B0        B1

  B0          1,0000    -,8344
  B1          -,8344    1,0000


EQUATION 33

Non-linear Regression

Notes
Output Created 19-OCT-2004 09:13:19
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Syntax MODEL PROGRAM b0=1 b1=1 .
COMPUTE PRED_6 = exp(b0+b1/t).
NLR h /PRED PRED_6 .
Resources Elapsed Time 0:00:00,25

All the derivatives will be calculated numerically.





 Iteration  Residual SS          B0          B1

     1      41554,54816  1,00000000  1,00000000
     1.1    5840481,819  5,55678313  -15,402871
     1.2    28470,36238  1,42369988  3,78748915
     2      28470,36238  1,42369988  3,78748915
     2.1    14818,58444  1,93582771  3,50212839
     3      14818,58444  1,93582771  3,50212839
     3.1    4185,357133  2,47524911  1,13522782
     4      4185,357133  2,47524911  1,13522782
     4.1    1374,660517  2,73508065  -2,5421437
     5      1374,660517  2,73508065  -2,5421437
     5.1    825,6614266  2,85024822  -5,1742711
     6      825,6614266  2,85024822  -5,1742711
     6.1    806,8320828  2,87077499  -5,7396774
     7      806,8320828  2,87077499  -5,7396774
     7.1    806,6307409  2,87310663  -5,8006948
     8      806,6307409  2,87310663  -5,8006948
     8.1    806,6291877  2,87332106  -5,8060835
     9      806,6291877  2,87332106  -5,8060835
     9.1    806,6291761  2,87333970  -5,8065493
    10      806,6291761  2,87333970  -5,8065493
    10.1    806,6291760  2,87334130  -5,8065894

Run stopped after 21 model evaluations and 10 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1,000E-08


Nonlinear Regression Summary Statistics     Dependent Variable H

  Source                 DF  Sum of Squares  Mean Square

  Regression              2    64493,37082    32246,68541
  Residual              348      806,62918        2,31790
  Uncorrected Total     350    65300,00000

  (Corrected Total)     349     2882,06857

  R squared = 1 - Residual SS / Corrected SS =     ,72012

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  B0         2,873341303   ,010555143  2,852581403  2,894101204
  B1        -5,806589428   ,217039361 -6,233463360 -5,379715496





  Asymptotic Correlation Matrix of the Parameter Estimates

                  B0        B1

  B0          1,0000    -,8230
  B1          -,8230    1,0000


EQUATION 34

Non-linear Regression

Notes
Output Created 19-OCT-2004 09:13:19
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Syntax MODEL PROGRAM b1=1 b2=1 b3=1 .
COMPUTE PRED_7 = b1/(1+b2*exp(-b3*t)).
NLR h /PRED PRED_7 .
Resources Elapsed Time 0:00:00,18

All the derivatives will be calculated numerically.





 Iteration  Residual SS          B1          B2          B3

     1      56304,22280  1,00000000  1,00000000  1,00000000

>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 134  Current case: 1  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 134  Current case: 2  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 134  Current case: 3  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 134  Current case: 4  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 134  Current case: 5  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 134  Current case: 6  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 134  Current case: 7  Current splitfile group: 1






>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 134  Current case: 8  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 134  Current case: 9  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 134  Current case: 10  Current splitfile group: 1


>Warning # 92
>The limit of MXWARNS warnings in this data pass has been printed.  Further
>warnings have been suppressed.

     1.1    ,0000000000  14,1136809  -4668,8816  -2350,2396

Run stopped after 2 model evaluations and 1 derivative evaluations.

>Error # 16623.  Command name: NLR
>The predicted value is missing or the case weight is missing or not
>positive for all cases.  Perhaps a variable needed for calculating the
>predicted value or the case weight was left off the WITH variable list.
>This command not executed.



EQUATION 35

Non-linear Regression

Notes
Output Created 19-OCT-2004 09:13:19
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Syntax MODEL PROGRAM b1=1 b2=1 .
COMPUTE PRED_8 = b1*exp(-b2/t).
NLR h /PRED PRED_8 .
Resources Elapsed Time 0:00:00,28

All the derivatives will be calculated numerically.





 Iteration  Residual SS          B1          B2

     1      56684,03878  1,00000000  1,00000000
     1.1    39031,77035  16,5979269  50,2027563
     2      39031,77035  16,5979269  50,2027563
     2.1     4,7501E+53  -11,257314  -118,75314
     2.2    10455,82518  17,2300204  17,2865593
     3      10455,82518  17,2300204  17,2865593
     3.1    17834,80136  15,0199593  -3,0366655
     3.2    2363,279082  18,1668872  10,0580154
     4      2363,279082  18,1668872  10,0580154
     4.1    849,0019740  17,4919394  5,10264991
     5      849,0019740  17,4919394  5,10264991
     5.1    806,9585059  17,6401434  5,72168869
     6      806,9585059  17,6401434  5,72168869
     6.1    806,6317300  17,6906777  5,79905829
     7      806,6317300  17,6906777  5,79905829
     7.1    806,6291951  17,6955884  5,80594197
     8      806,6291951  17,6955884  5,80594197
     8.1    806,6291761  17,6960103  5,80653706
     9      806,6291761  17,6960103  5,80653706
     9.1    806,6291760  17,6960466  5,80658836

Run stopped after 20 model evaluations and 9 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1,000E-08


Nonlinear Regression Summary Statistics     Dependent Variable H

  Source                 DF  Sum of Squares  Mean Square

  Regression              2    64493,37082    32246,68541
  Residual              348      806,62918        2,31790
  Uncorrected Total     350    65300,00000

  (Corrected Total)     349     2882,06857

  R squared = 1 - Residual SS / Corrected SS =     ,72012

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  B1        17,696046635   ,186783908 17,328679257 18,063414014
  B2         5,806588364   ,217039221  5,379714707  6,233462020





  Asymptotic Correlation Matrix of the Parameter Estimates

                  B1        B2

  B1          1,0000     ,8230
  B2           ,8230    1,0000


EQUATION 36

Non-linear Regression

Notes
Output Created 19-OCT-2004 09:13:19
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Syntax MODEL PROGRAM b1=1 b2=1 b3=1 .
COMPUTE PRED_9 = b1*(1-b2*exp(-b3*t)).
NLR h /PRED PRED_9 .
Resources Elapsed Time 0:00:00,16

All the derivatives will be calculated numerically.





 Iteration  Residual SS          B1          B2          B3

     1      56304,48513  1,00000000  1,00000000  1,00000000

>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 144  Current case: 1  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 144  Current case: 2  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 144  Current case: 3  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 144  Current case: 4  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 144  Current case: 5  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 144  Current case: 6  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 144  Current case: 7  Current splitfile group: 1






>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 144  Current case: 8  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 144  Current case: 9  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 144  Current case: 10  Current splitfile group: 1


>Warning # 92
>The limit of MXWARNS warnings in this data pass has been printed.  Further
>warnings have been suppressed.

     1.1    ,0000000000  14,1135990  -4676,9128  -2349,7668

Run stopped after 2 model evaluations and 1 derivative evaluations.

>Error # 16623.  Command name: NLR
>The predicted value is missing or the case weight is missing or not
>positive for all cases.  Perhaps a variable needed for calculating the
>predicted value or the case weight was left off the WITH variable list.
>This command not executed.



EQUATION 37

Non-linear Regression

Notes
Output Created 19-OCT-2004 09:13:20
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Syntax MODEL PROGRAM b0=1 b1=1 b2=1 .
COMPUTE PRED_10 = b0+(b1*exp(b2*t)).
NLR h /PRED PRED_10 .
Resources Elapsed Time 0:00:00,24

All the derivatives will be calculated numerically.





 Iteration  Residual SS          B0          B1          B2

     1       5,2167E+52  1,00000000  1,00000000  1,00000000
     1.1     8,7443E+37  6,10798667   4,094E-08  ,999999999
     2       8,7443E+37  6,10798667   4,094E-08  ,999999999
     2.1     1,0389E+24  9,03235676   4,463E-15  ,999999997

Run stopped after 4 model evaluations and 2 derivative evaluations.
Iterations have been stopped because the relative difference between
successive parameter estimates is at most PCON = 1,000E-08


Nonlinear Regression Summary Statistics     Dependent Variable H

The solution results in negative sum of squares. Check model specifications.

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  B0         9,032356757 3375766190,4  -6639537964 6639537981,6
  B1         4,46265E-15  1,77695E-12 -3,49049E-12  3,49942E-12
  B2          ,999999997  7,23373E-07   ,999998575  1,000001420

  Asymptotic Correlation Matrix of the Parameter Estimates

                  B0        B1        B2

  B0          1,0000     ,0000     ,0000
  B1           ,0000    1,0000   -1,0000
  B2           ,0000   -1,0000    1,0000


EQUATION 38

Non-linear Regression

Notes
Output Created 19-OCT-2004 09:13:20
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Syntax MODEL PROGRAM b1=1 b2=1 b3=1 .
COMPUTE PRED_11 = b1*exp(-b2/(t**b3)).
NLR h /PRED PRED_11 .
Resources Elapsed Time 0:00:00,16

All the derivatives will be calculated numerically.





 Iteration  Residual SS          B1          B2          B3

     1      56684,03878  1,00000000  1,00000000  1,00000000

>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 154  Current case: 1  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 154  Current case: 2  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 154  Current case: 3  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 154  Current case: 4  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 154  Current case: 5  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 154  Current case: 6  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 154  Current case: 7  Current splitfile group: 1






>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 154  Current case: 8  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 154  Current case: 9  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 154  Current case: 10  Current splitfile group: 1


>Warning # 92
>The limit of MXWARNS warnings in this data pass has been printed.  Further
>warnings have been suppressed.

     1.1    ,0000000000  20,0846320  -36,953789  -55,721341

Run stopped after 2 model evaluations and 1 derivative evaluations.

>Error # 16623.  Command name: NLR
>The predicted value is missing or the case weight is missing or not
>positive for all cases.  Perhaps a variable needed for calculating the
>predicted value or the case weight was left off the WITH variable list.
>This command not executed.



EQUATION 39

Non-linear Regression

Notes
Output Created 19-OCT-2004 09:13:20
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Syntax MODEL PROGRAM b1=1 b2=1 .
COMPUTE PRED_12 = b1*exp(-b2*t).
NLR h /PRED PRED_12 .
Resources Elapsed Time 0:00:00,39

All the derivatives will be calculated numerically.





 Iteration  Residual SS          B1          B2

     1      65297,24388  1,00000000  1,00000000

>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 159  Current case: 1  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 159  Current case: 2  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 159  Current case: 3  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 159  Current case: 4  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 159  Current case: 5  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 159  Current case: 6  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 159  Current case: 7  Current splitfile group: 1






>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 159  Current case: 8  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 159  Current case: 9  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 159  Current case: 10  Current splitfile group: 1


>Warning # 92
>The limit of MXWARNS warnings in this data pass has been printed.  Further
>warnings have been suppressed.

     1.1     2,5737+176  -114,99997  -99,177618
     1.2     3,0725+298  12,7504328  -8,5188573
     1.3    62708,73186  2,31290871  ,094435850
     2      62708,73186  2,31290871  ,094435850
     2.1    62429,73623  2,39531587  ,089899234
     3      62429,73623  2,39531587  ,089899234
     3.1    61818,87221  2,55466063  ,081563064
     4      61818,87221  2,55466063  ,081563064
     4.1    60380,10600  2,85378030  ,067411451
     5      60380,10600  2,85378030  ,067411451
     5.1    56674,64215  3,38781013  ,046749152
     6      56674,64215  3,38781013  ,046749152
     6.1    47455,53962  4,26587719  ,024135883
     7      47455,53962  4,26587719  ,024135883
     7.1    31741,81281  5,50116630  ,007742599
     8      31741,81281  5,50116630  ,007742599
     8.1    9592,855809  7,33235774  -,00552761
     9      9592,855809  7,33235774  -,00552761
     9.1    1792,235244  9,03720771  -,01611902
    10      1792,235244  9,03720771  -,01611902
    10.1    602,3842781  9,24041140  -,01247030
    11      602,3842781  9,24041140  -,01247030
    11.1    597,6473353  9,26523240  -,01217998
    12      597,6473353  9,26523240  -,01217998
    12.1    597,6468313  9,26317397  -,01218549
    13      597,6468313  9,26317397  -,01218549
    13.1    597,6468310  9,26321876  -,01218535





Run stopped after 28 model evaluations and 13 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1,000E-08


Nonlinear Regression Summary Statistics     Dependent Variable H

  Source                 DF  Sum of Squares  Mean Square

  Regression              2    64702,35317    32351,17658
  Residual              348      597,64683        1,71738
  Uncorrected Total     350    65300,00000

  (Corrected Total)     349     2882,06857

  R squared = 1 - Residual SS / Corrected SS =     ,79263

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  B1         9,263218764   ,118881505  9,029402117  9,497035411
  B2         -,012185349   ,000342299  -,012858585  -,011512113

  Asymptotic Correlation Matrix of the Parameter Estimates

                  B1        B2

  B1          1,0000     ,9159
  B2           ,9159    1,0000


EQUATION 40

Non-linear Regression

Notes
Output Created 19-OCT-2004 09:13:20
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Syntax MODEL PROGRAM b1=1 b2=1 b3=1 .
COMPUTE PRED_13 = b1*(1-exp((-b2/t)**b3)).
NLR h /PRED PRED_13 .
Resources Elapsed Time 0:00:00,17

All the derivatives will be calculated numerically.





>Warning # 523
>During the execution of the indicated command, an attempt was made to raise
>a non-positive number to a fractional power, e.g.  (-3)**2.5.  The result
>has been set to the system-missing value.

>Command line: 164  Current case: 1  Current splitfile group: 1


>Warning # 523
>During the execution of the indicated command, an attempt was made to raise
>a non-positive number to a fractional power, e.g.  (-3)**2.5.  The result
>has been set to the system-missing value.

>Command line: 164  Current case: 2  Current splitfile group: 1


>Warning # 523
>During the execution of the indicated command, an attempt was made to raise
>a non-positive number to a fractional power, e.g.  (-3)**2.5.  The result
>has been set to the system-missing value.

>Command line: 164  Current case: 3  Current splitfile group: 1


>Warning # 523
>During the execution of the indicated command, an attempt was made to raise
>a non-positive number to a fractional power, e.g.  (-3)**2.5.  The result
>has been set to the system-missing value.

>Command line: 164  Current case: 4  Current splitfile group: 1


>Warning # 523
>During the execution of the indicated command, an attempt was made to raise
>a non-positive number to a fractional power, e.g.  (-3)**2.5.  The result
>has been set to the system-missing value.

>Command line: 164  Current case: 5  Current splitfile group: 1


>Warning # 523
>During the execution of the indicated command, an attempt was made to raise
>a non-positive number to a fractional power, e.g.  (-3)**2.5.  The result
>has been set to the system-missing value.

>Command line: 164  Current case: 6  Current splitfile group: 1


>Warning # 523
>During the execution of the indicated command, an attempt was made to raise
>a non-positive number to a fractional power, e.g.  (-3)**2.5.  The result
>has been set to the system-missing value.

>Command line: 164  Current case: 7  Current splitfile group: 1






>Warning # 523
>During the execution of the indicated command, an attempt was made to raise
>a non-positive number to a fractional power, e.g.  (-3)**2.5.  The result
>has been set to the system-missing value.

>Command line: 164  Current case: 8  Current splitfile group: 1


>Warning # 523
>During the execution of the indicated command, an attempt was made to raise
>a non-positive number to a fractional power, e.g.  (-3)**2.5.  The result
>has been set to the system-missing value.

>Command line: 164  Current case: 9  Current splitfile group: 1


>Warning # 523
>During the execution of the indicated command, an attempt was made to raise
>a non-positive number to a fractional power, e.g.  (-3)**2.5.  The result
>has been set to the system-missing value.

>Command line: 164  Current case: 10  Current splitfile group: 1


>Warning # 92
>The limit of MXWARNS warnings in this data pass has been printed.  Further
>warnings have been suppressed.


 Iteration  Residual SS          B1          B2          B3

     1      168,0204102  1,00000000  1,00000000  1,00000000

Run stopped after 1 model evaluations and 1 derivative evaluations.
Iterations have been stopped because the magnitude of the largest correlation
between the residuals and any derivative column is at most RCON = 1,000E-08






Nonlinear Regression Summary Statistics     Dependent Variable H

  Source                 DF  Sum of Squares  Mean Square

  Regression              3         ,97959         ,32653
  Residual              347      168,02041         ,48421
  Uncorrected Total     350      169,00000

  (Corrected Total)     349         ,00000

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  B1         1,000000000   ,000000000  1,000000000  1,000000000
  B2         1,000000000   ,000000000  1,000000000  1,000000000
  B3         1,000000000   ,000000000  1,000000000  1,000000000

  Asymptotic Correlation Matrix of the Parameter Estimates

                  B1        B2        B3

  B1          1,0000     ,         ,
  B2           ,        1,0000     ,
  B3           ,         ,        1,0000


EQUATION 41

Non-linear Regression

Notes
Output Created 19-OCT-2004 09:13:21
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Syntax MODEL PROGRAM b1=1 b2=1 b3=1 b4=1 .
COMPUTE PRED_14 = b1/(1-b2*exp(-b3*(t**b4))).
NLR h /PRED PRED_14 .
Resources Elapsed Time 0:00:00,03

All the derivatives will be calculated numerically.





 Iteration  Residual SS          B1          B2          B3          B4

     1      56299,21867  1,00000000  1,00000000  1,00000000  1,00000000

>Warning # 524
>During the execution of the indicated command, an attempt was made to
>perform exponentiation for which the result would have been outside the
>range of the computer, i.e.  a magnitude smaller than 10**(-307) or greater
>than 10**308.  The result has been set to the system-missing value.

>Command line: 169  Current case: 1  Current splitfile group: 1


>Warning # 524
>During the execution of the indicated command, an attempt was made to
>perform exponentiation for which the result would have been outside the
>range of the computer, i.e.  a magnitude smaller than 10**(-307) or greater
>than 10**308.  The result has been set to the system-missing value.

>Command line: 169  Current case: 2  Current splitfile group: 1


>Warning # 524
>During the execution of the indicated command, an attempt was made to
>perform exponentiation for which the result would have been outside the
>range of the computer, i.e.  a magnitude smaller than 10**(-307) or greater
>than 10**308.  The result has been set to the system-missing value.

>Command line: 169  Current case: 3  Current splitfile group: 1


>Warning # 524
>During the execution of the indicated command, an attempt was made to
>perform exponentiation for which the result would have been outside the
>range of the computer, i.e.  a magnitude smaller than 10**(-307) or greater
>than 10**308.  The result has been set to the system-missing value.

>Command line: 169  Current case: 4  Current splitfile group: 1


>Warning # 524
>During the execution of the indicated command, an attempt was made to
>perform exponentiation for which the result would have been outside the
>range of the computer, i.e.  a magnitude smaller than 10**(-307) or greater
>than 10**308.  The result has been set to the system-missing value.

>Command line: 169  Current case: 5  Current splitfile group: 1






>Warning # 524
>During the execution of the indicated command, an attempt was made to
>perform exponentiation for which the result would have been outside the
>range of the computer, i.e.  a magnitude smaller than 10**(-307) or greater
>than 10**308.  The result has been set to the system-missing value.

>Command line: 169  Current case: 6  Current splitfile group: 1


>Warning # 524
>During the execution of the indicated command, an attempt was made to
>perform exponentiation for which the result would have been outside the
>range of the computer, i.e.  a magnitude smaller than 10**(-307) or greater
>than 10**308.  The result has been set to the system-missing value.

>Command line: 169  Current case: 7  Current splitfile group: 1


>Warning # 524
>During the execution of the indicated command, an attempt was made to
>perform exponentiation for which the result would have been outside the
>range of the computer, i.e.  a magnitude smaller than 10**(-307) or greater
>than 10**308.  The result has been set to the system-missing value.

>Command line: 169  Current case: 8  Current splitfile group: 1


>Warning # 524
>During the execution of the indicated command, an attempt was made to
>perform exponentiation for which the result would have been outside the
>range of the computer, i.e.  a magnitude smaller than 10**(-307) or greater
>than 10**308.  The result has been set to the system-missing value.

>Command line: 169  Current case: 9  Current splitfile group: 1


>Warning # 524
>During the execution of the indicated command, an attempt was made to
>perform exponentiation for which the result would have been outside the
>range of the computer, i.e.  a magnitude smaller than 10**(-307) or greater
>than 10**308.  The result has been set to the system-missing value.

>Command line: 169  Current case: 10  Current splitfile group: 1


>Warning # 92
>The limit of MXWARNS warnings in this data pass has been printed.  Further
>warnings have been suppressed.

     1.1    ,0000000000  14,1237823  -4916,0535  -4244,9436  2608,90037

Run stopped after 2 model evaluations and 1 derivative evaluations.





>Error # 16623.  Command name: NLR
>The predicted value is missing or the case weight is missing or not
>positive for all cases.  Perhaps a variable needed for calculating the
>predicted value or the case weight was left off the WITH variable list.
>This command not executed.



EQUATION 42

Non-linear Regression

Notes
Output Created 19-OCT-2004 09:13:21
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\Height-age\h_t.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Syntax MODEL PROGRAM b1=1 b2=1 b3=1 .
COMPUTE PRED_15 = b1*exp(-b2*exp(-b3*t)).
NLR h /PRED PRED_15 .
Resources Elapsed Time 0:00:00,15

All the derivatives will be calculated numerically.





 Iteration  Residual SS          B1          B2          B3

     1      56304,34265  1,00000000  1,00000000  1,00000000

>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 174  Current case: 1  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 174  Current case: 2  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 174  Current case: 3  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 174  Current case: 4  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 174  Current case: 5  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 174  Current case: 6  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 174  Current case: 7  Current splitfile group: 1






>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 174  Current case: 8  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 174  Current case: 9  Current splitfile group: 1


>Warning # 612
>The argument to the EXP function is too large.  The maximum is about 709.
>The result has been set to the system-missing value.

>Command line: 174  Current case: 10  Current splitfile group: 1


>Warning # 92
>The limit of MXWARNS warnings in this data pass has been printed.  Further
>warnings have been suppressed.

     1.1    ,0000000000  14,1136446  -4672,9155  -2349,9987

Run stopped after 2 model evaluations and 1 derivative evaluations.

>Error # 16623.  Command name: NLR
>The predicted value is missing or the case weight is missing or not
>positive for all cases.  Perhaps a variable needed for calculating the
>predicted value or the case weight was left off the WITH variable list.
>This command not executed.