Lampiran Hasil Penelitian
One-Sample Kolmogorov-Smirnov Test
Unstandardized
Residual
N 34
Normal Parametersa Mean .0000000
Std. Deviation .08975232
Most Extreme Differences Absolute .172
Positive .172
Negative -.099
Kolmogorov-Smirnov Z 1.006
Asymp. Sig. (2-tailed) .264
a. Test distribution is Normal.
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression .029 2 .015 4.995 .013a
Residual .091 31 .003
Total .121 33
a. Predictors: (Constant), CSRD, proper
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.
B Std. Error Beta
1 (Constant) -.044 .052 -.844 .405
proper .013 .021 .139 .601 .552
CSRD .167 .101 .382 1.653 .108
a. Dependent Variable: abs_res
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value .0226 .1295 .0653 .02988 34
Residual -.11622 .13175 .00000 .05264 34
Std. Predicted Value -1.430 2.149 .000 1.000 34
Std. Residual -2.140 2.426 .000 .969 34
a. Dependent Variable: abs_res
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression .124 2 .062 7.233 .003a
Residual .266 31 .009
Total .390 33
a. Predictors: (Constant), CSRD, proper
Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients
t Sig.
Collinearity Statistics
B Std. Error Beta Tolerance VIF
1 (Constant) -9.436E-5 .089 -.001 .999
proper -.020 .036 -.119 -.541 .593 .456 2.191
CSRD .507 .172 .646 2.942 .006 .456 2.191
a. Dependent Variable: ROA
Collinearity Diagnosticsa
Model
Dimensi
on Eigenvalue Condition Index
Variance Proportions
(Constant) proper CSRD
1 1 2.933 1.000 .00 .00 .01
2 .056 7.216 .24 .00 .50
3 .010 16.808 .75 1.00 .50
a. Dependent Variable: ROA
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value .0449 .2529 .1314 .06131 34
Residual -.19315 .21897 .00000 .08975 34
Std. Predicted Value -1.410 1.983 .000 1.000 34
Std. Residual -2.086 2.365 .000 .969 34
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression .344 1 .344 38.103 .000a
Residual .289 32 .009
Total .633 33
a. Predictors: (Constant), proper
b. Dependent Variable: CSRD
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.
B Std. Error Beta
1 (Constant) -.139 .087 -1.587 .122
proper .155 .025 .737 6.173 .000
a. Dependent Variable: CSRD
Collinearity Diagnosticsa
Model
Dimensi
on Eigenvalue Condition Index
Variance Proportions
(Constant) proper
1 1 1.982 1.000 .01 .01
2 .018 10.639 .99 .99
a. Dependent Variable: CSRD
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value .17206 .63831 .39147 .102076 34
Residual -.187893 .171107 .000000 .093545 34
Std. Predicted Value -2.149 2.418 .000 1.000 34
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value .17206 .63831 .39147 .102076 34
Residual -.187893 .171107 .000000 .093545 34
Std. Predicted Value -2.149 2.418 .000 1.000 34
Std. Residual -1.978 1.801 .000 .985 34
a. Dependent Variable: CSRD
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression .124 2 .062 7.233 .003a
Residual .266 31 .009
Total .390 33
a. Predictors: (Constant), CSRD, proper
b. Dependent Variable: ROA
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.
B Std. Error Beta
1 (Constant) -9.436E-5 .089 -.001 .999
proper -.020 .036 -.119 -.541 .593
CSRD .507 .172 .646 2.942 .006
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value .0449 .2529 .1314 .06131 34
Residual -.19315 .21897 .00000 .08975 34
Std. Predicted Value -1.410 1.983 .000 1.000 34
Std. Residual -2.086 2.365 .000 .969 34