Title 'Model Building using Forward Selection'.
Data list fixed records=1
	/1 gpa 1-3 greq 5-7 grev 9-11 mat 13-14 ar 16-18.
begin data
3.2 625 540 65 2.7
4.1 575 680 75 4.5
3.0 520 480 65 2.5
2.6 545 520 55 3.1
3.7 520 490 75 3.6
4.0 655 535 65 4.3
4.3 630 720 75 4.6
2.7 500 500 75 3.0
3.6 605 575 65 4.7
4.1 555 690 75 3.4
2.7 505 545 55 3.7
2.9 540 515 55 2.6
2.5 520 520 55 3.1
3.0 585 710 65 2.7
3.3 600 610 85 5.0
3.2 625 540 65 2.7
4.1 575 680 75 4.5
3.0 520 480 65 2.5
2.6 545 520 55 3.1
3.7 520 490 75 3.6
4.0 655 535 65 4.3
4.3 630 720 75 4.6
2.7 500 500 75 3.0
3.6 605 575 65 4.7
4.1 555 690 75 3.4
2.7 505 545 55 3.7
2.9 540 515 55 2.6
2.5 520 520 55 3.1
3.0 585 710 65 2.7
3.3 600 610 85 5.0
end data.
Regression variables=gpa,greq,grev,mat,ar
	/descriptives=mean,stddev,corr,n
	/statistics=r,anova,cha,ci,coeff,tol,history
	/dependent= gpa
	/method=forward.







OUTPUT:



22 Dec 99   Model Building using Forward Selection                                                                            Page 2
14:06:52    UCLA OAC                       IBM RS6000       AIX 3.2.5/4.


                                     * * * *   M U L T I P L E   R E G R E S S I O N   * * * *


Listwise Deletion of Missing Data

             Mean  Std Dev  Label

GPA         3.313     .600
GREQ      565.333   48.618
GREV      575.333   83.034
MAT        67.000    9.248
AR          3.567     .838

N of Cases =    30

Correlation:

                GPA       GREQ       GREV        MAT         AR

GPA           1.000       .611       .581       .604       .621
GREQ           .611      1.000       .468       .267       .508
GREV           .581       .468      1.000       .426       .405
MAT            .604       .267       .426      1.000       .525
AR             .621       .508       .405       .525      1.000


22 Dec 99   Model Building using Forward Selection                                                                            Page 3
14:06:52    UCLA OAC                       IBM RS6000       AIX 3.2.5/4.


                                     * * * *   M U L T I P L E   R E G R E S S I O N   * * * *

Equation Number 1    Dependent Variable..   GPA

  Descriptive Statistics are printed on Page    2

Block Number  1.  Method:  Forward      Criterion   PIN  .0500


Variable(s) Entered on Step Number  1..    AR


Multiple R           .62072                                             Analysis of Variance
R Square             .38529          R Square Change    .38529                              DF      Sum of Squares      Mean Square
Adjusted R Square    .36334          F Change         17.55023          Regression           1             4.02041          4.02041
Standard Error       .47862          Signif F Change    .0003           Residual            28             6.41425           .22908

                                                                        F =      17.55023       Signif F =  .0003


------------------------------------------ Variables in the Equation ------------------------------------------

Variable              B        SE B     95% Confdnce Intrvl B       Beta  Tolerance        VIF         T  Sig T

AR              .444081     .106004      .226942      .661220    .620721   1.000000      1.000     4.189  .0003
(Constant)     1.729444     .388047      .934566     2.524322                                      4.457  .0001


----------- not in ------------

Variable   Tolerance        VIF

GREQ         .742099      1.348
GREV         .835714      1.197
MAT          .724599      1.380

22 Dec 99   Model Building using Forward Selection                                                                            Page 4
14:06:52    UCLA OAC                       IBM RS6000       AIX 3.2.5/4.


                                     * * * *   M U L T I P L E   R E G R E S S I O N   * * * *

Equation Number 1    Dependent Variable..   GPA


Variable(s) Entered on Step Number  2..    GREV


Multiple R           .71798                                             Analysis of Variance
R Square             .51549          R Square Change    .13020                              DF      Sum of Squares      Mean Square
Adjusted R Square    .47960          F Change          7.25547          Regression           2             5.37898          2.68949
Standard Error       .43272          Signif F Change    .0120           Residual            27             5.05568           .18725

                                                                        F =      14.36329       Signif F =  .0001


------------------------------------------ Variables in the Equation ------------------------------------------

Variable              B        SE B     95% Confdnce Intrvl B       Beta  Tolerance        VIF         T  Sig T

GREV            .002851     .001059  6.79359E-04      .005023    .394705    .835714      1.197     2.694  .0120
AR              .329625     .104835      .114521      .544729    .460738    .835714      1.197     3.144  .0040
(Constant)      .497178     .576516     -.685734     1.680090                                       .862  .3961


----------- not in ------------

Variable   Tolerance        VIF

GREQ         .659821      1.516
MAT          .670304      1.492


End Block Number   1   PIN =     .050 Limits reached.



                                     * * * * * * * * * * * * * * * * * * * * * * * * * * * * *


                                                       Summary table
                                                       -------------

Step   MultR     Rsq  AdjRsq    F(Eqn)  SigF   RsqCh       FCh SigCh       Variable  BetaIn  Correl
   1   .6207   .3853   .3633    17.550  .000   .3853    17.550  .000  In:  AR         .6207   .6207
   2   .7180   .5155   .4796    14.363  .000   .1302     7.255  .012  In:  GREV       .3947   .5815

22 Dec 99   Model Building using Forward Selection                                                                            Page 5
14:06:52    UCLA OAC                       IBM RS6000       AIX 3.2.5/4.


Preceding task required .14 seconds CPU time;  .15 seconds elapsed.

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