The document appears to present results from a regression analysis examining the relationship between pretest and posttest scores. It finds a strong positive correlation between pretest and posttest scores (r=0.932). The regression model using posttest scores to predict pretest scores explains 86.4% of the variance in pretest scores. Posttest scores were a statistically significant predictor of pretest scores.

1. pretest postest
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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
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0.8
Expected Cum Prob
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0.0 0.2 0.4 0.6 0.8 1.0
Observed Cum Prob

6. Scatterplot
Dependent Variable: pretest
Regression Studentized Residual
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-2 -1 0 1 2
Regression Standardized Predicted Value