LAMPIRAN
Hasil Perhitungan Data Penelitian
Emiten Tahun
Descriptive Statisctics
One-Sample Kolmogorov-Smirnov Test
CSR ROA PBV
N 42 42 42
Normal Parametersa,,b Mean .7157 8.3895 2.0026
Std. Deviation .16506 7.60988 1.46423
Most Extreme Differences Absolute .323 .190 .161
Positive .323 .190 .161
Negative -.200 -.139 -.097
Kolmogorov-Smirnov Z 2.096 1.234 1.044
Asymp. Sig. (2-tailed) .104 .095 .226
a. Test distribution is Normal. b. Calculated from data.
Variables Entered/Removed
Model
Variables
Entered
Variables
Removed Method
1 ROA, CSRa . Enter
a. All requested variables entered.
N Minimum Maximum Mean Std. Deviation
CSR 42 .50 1.00 .7157 .16506
ROA 42 .15 30.01 8.3895 7.60988
PBV 42 .05 6.19 2.0026 1.46423
Valid N (listwise) 42
Model Summaryb
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
Change Statistics
Durbin-Watson R Square
Change F Change df1 df2 Sig. F Change
1 .651a .423 .394 1.14014 .423 14.311 2 39 .000 1.353
a Predictors: (Constant), ROA, CSR b Dependent Variable: PBV
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 37.205 2 18.603 14.311 .000a
Residual 50.697 39 1.300
Total 87.902 41
a Predictors: (Constant), ROA, CSR b Dependent Variable: PBV
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.
Correlations Collinearity Statistics
B Std. Error Beta Zero-order Partial Part Tolerance VIF
1 (Constant) -.871 .821 -1.061 .295
CSR 2.699 1.079 .304 2.501 .017 .289 .372 .304 .999 1.001
ROA .112 .023 .583 4.795 .000 .575 .609 .583 .999 1.001
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value .5102 5.0798 2.0026 .95260 42
Std. Predicted Value -1.567 3.230 .000 1.000 42
Standard Error of Predicted
Value
.184 .604 .290 .093 42
Adjusted Predicted Value .4703 5.1734 1.9990 .96172 42
Residual -1.73342 3.63876 .00000 1.11199 42
Std. Residual -1.520 3.191 .000 .975 42
Stud. Residual -1.604 3.359 .002 1.013 42
Deleted Residual -1.92967 4.03068 .00360 1.19952 42
Stud. Deleted Residual -1.638 3.933 .026 1.091 42
Mahal. Distance .093 10.539 1.952 2.088 42
Cook's Distance .000 .405 .027 .067 42
Centered Leverage Value .002 .257 .048 .051 42
a. Dependent Variable: PBV
Collinearity Diagnosticsa
Model
Dimens
ion Eigenvalue Condition Index
Variance Proportions
(Constant) CSR ROA
1 1 2.634 1.000 .01 .01 .05
2 .342 2.775 .02 .02 .93
3 .024 10.391 .98 .97 .03
Model
Variables
Entered
Variables
Removed Method
1 CSRa . Enter
a. All requested variables entered. b. Dependent Variable: PBV
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .289a .083 .060 1.41934
a. Predictors: (Constant), CSR
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 7.321 1 7.321 3.634 .064a
Residual 80.581 40 2.015
Total 87.902 41
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.
B Std. Error Beta
1 (Constant) .170 .986 .173 .864
CSR 2.560 1.343 .289 1.906 .064
a. Dependent Variable: PBV
Variables Entered/Removed
Model
Variables
Entered
Variables
Removed Method
1 Moderat, CSR,
ROAa
. Enter
a. All requested variables entered.
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .654a .428 .383 1.14993
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 37.653 3 12.551 9.492 .000a
Residual 50.249 38 1.322
Total 87.902 41
a. Predictors: (Constant), Moderat, CSR, ROA b. Dependent Variable: PBV
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.