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Regression


            Descriptive Statistics

            Mean      Std. Deviation   N
 pretest    56.0667         6.04542        30
 posttest   62.2667         6.92289        30
Correlations

                                            pretest          posttest
  Pearson Correlation      pretest             1.000              .932
                           posttest             .932            1.000
  Sig. (1-tailed)          pretest                  .             .000
                           posttest             .000                  .
  N                        pretest                30                30
                           posttest               30                30



            Variables Entered/Removedb


             Variables      Variables
  Model      Entered        Removed           Method
  1         posttesta                   .    Enter
      a. All requested variables entered.
      b. Dependent Variable: pretest



                         Model Summaryb


                                            Adjusted         Std. Error of
  Model         R         R Square          R Square         the Estimate
  1              .932a        .869               .864             2.22614
      a. Predictors: (Constant), posttest
      b. Dependent Variable: pretest

output spss tersebut memiliki nilai koefisien determinasi yang sudah di sesuaikan
(adjustd R square) 0,864 artinya 86,4% fariabel independent nilai posttest di jelaskan
oleh variable independen nilai pretest dan sisanya 13,6%(100-86,9% di jelaskan oleh
variable lain di luar variable yang di gunakan.

                                                 ANOVAb

                             Sum of
  Model                      Squares             df            Mean Square     F       Sig.
  1         Regression        921.108                    1         921.108   185.869      .000a
            Residual          138.759                   28           4.956
            Total            1059.867                   29
      a. Predictors: (Constant), FISIKA
      b. Dependent Variable: KIMIA
ANOVAb

                          Sum of
 Model                    Squares           df         Mean Square        F              Sig.
 1       Regression        921.108                 1       921.108      185.869             .000a
         Residual          138.759                28         4.956
         Total            1059.867                29
   a. Predictors: (Constant), posttest
   b. Dependent Variable: pretest



                                         Coefficientsa

                            Unstandardized             Standardized
                             Coefficients              Coefficients
 Model                      B        Std. Error            Beta           t              Sig.
 1       (Constant)         5.376         3.740                           1.437             .162
         posttest            .814          .060                .932      13.633             .000
   a. Dependent Variable: pretest



                                      Residuals Statisticsa

                              Minimum       Maximum          Mean      Std. Deviation          N
 Predicted Value               44.4524       65.6186         56.0667         5.63581                30
 Std. Predicted Value            -2.061        1.695            .000           1.000                30
 Standard Error of
                                    .407            .944        .560              .134              30
 Predicted Value
 Adjusted Predicted Value       44.1132          65.8655     56.0508        5.66925                 30
 Residual                      -3.33691          4.29125      .00000        2.18742                 30
 Std. Residual                    -1.499           1.928        .000           .983                 30
 Stud. Residual                   -1.565           2.042        .003          1.019                 30
 Deleted Residual              -3.63697          4.81714      .01583        2.35572                 30
 Stud. Deleted Residual           -1.609           2.174        .016          1.046                 30
 Mahal. Distance                    .001           4.247        .967           .981                 30
 Cook's Distance                    .001            .256        .039           .059                 30
 Centered Leverage Value            .000            .146        .033           .034                 30
   a. Dependent Variable: pretest



Charts
Normal P-P Plot of Regression Standardized Residual



                                    Dependent Variable: pretest
                        1.0




                        0.8
    Expected Cum Prob




                        0.6




                        0.4




                        0.2




                        0.0
                              0.0       0.2       0.4    0.6      0.8   1.0

                                              Observed Cum Prob
Scatterplot



                                              Dependent Variable: pretest
Regression Studentized Residual




                                  2




                                   1




                                  0




                                  -1




                                  -2

                                       -2           -1                 0          1   2

                                            Regression Standardized Predicted Value

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Regression.Doc Rini

  • 1. pretest postest 50 52 46 48 60 68 60 62 62 70 54 62 60 64 52 52 50 56 64 68 62 70 60 68 48 56 50 58 58 66 54 58 46 54 60 64 56 64 48 54 52 60 56 64 64 74 62 70 54 58 48 54 60 68 68 72 56 64 62 70
  • 2. Regression Descriptive Statistics Mean Std. Deviation N pretest 56.0667 6.04542 30 posttest 62.2667 6.92289 30
  • 3. Correlations pretest posttest Pearson Correlation pretest 1.000 .932 posttest .932 1.000 Sig. (1-tailed) pretest . .000 posttest .000 . N pretest 30 30 posttest 30 30 Variables Entered/Removedb Variables Variables Model Entered Removed Method 1 posttesta . Enter a. All requested variables entered. b. Dependent Variable: pretest Model Summaryb Adjusted Std. Error of Model R R Square R Square the Estimate 1 .932a .869 .864 2.22614 a. Predictors: (Constant), posttest b. Dependent Variable: pretest output spss tersebut memiliki nilai koefisien determinasi yang sudah di sesuaikan (adjustd R square) 0,864 artinya 86,4% fariabel independent nilai posttest di jelaskan oleh variable independen nilai pretest dan sisanya 13,6%(100-86,9% di jelaskan oleh variable lain di luar variable yang di gunakan. ANOVAb Sum of Model Squares df Mean Square F Sig. 1 Regression 921.108 1 921.108 185.869 .000a Residual 138.759 28 4.956 Total 1059.867 29 a. Predictors: (Constant), FISIKA b. Dependent Variable: KIMIA
  • 4. ANOVAb Sum of Model Squares df Mean Square F Sig. 1 Regression 921.108 1 921.108 185.869 .000a Residual 138.759 28 4.956 Total 1059.867 29 a. Predictors: (Constant), posttest b. Dependent Variable: pretest Coefficientsa Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig. 1 (Constant) 5.376 3.740 1.437 .162 posttest .814 .060 .932 13.633 .000 a. Dependent Variable: pretest Residuals Statisticsa Minimum Maximum Mean Std. Deviation N Predicted Value 44.4524 65.6186 56.0667 5.63581 30 Std. Predicted Value -2.061 1.695 .000 1.000 30 Standard Error of .407 .944 .560 .134 30 Predicted Value Adjusted Predicted Value 44.1132 65.8655 56.0508 5.66925 30 Residual -3.33691 4.29125 .00000 2.18742 30 Std. Residual -1.499 1.928 .000 .983 30 Stud. Residual -1.565 2.042 .003 1.019 30 Deleted Residual -3.63697 4.81714 .01583 2.35572 30 Stud. Deleted Residual -1.609 2.174 .016 1.046 30 Mahal. Distance .001 4.247 .967 .981 30 Cook's Distance .001 .256 .039 .059 30 Centered Leverage Value .000 .146 .033 .034 30 a. Dependent Variable: pretest Charts
  • 5. Normal P-P Plot of Regression Standardized Residual Dependent Variable: pretest 1.0 0.8 Expected Cum Prob 0.6 0.4 0.2 0.0 0.0 0.2 0.4 0.6 0.8 1.0 Observed Cum Prob
  • 6. Scatterplot Dependent Variable: pretest Regression Studentized Residual 2 1 0 -1 -2 -2 -1 0 1 2 Regression Standardized Predicted Value