Normalitas Linearitas Multikolinearitas Heteroskedastisitas

E. Uji Asumsi Klasik

1. Normalitas

One-Sample Kolmogorov-Smirnov Test Unstandardized Residual N 115 Normal Parameters a Mean .0000000 Std. Deviation 1.99387725 Most Extreme Differences Absolute .093 Positive .093 Negative -.060 Kolmogorov-Smirnov Z .995 Asymp. Sig. 2-tailed .276 a. Test distribution is Normal. b. Calculated from data

2. Linearitas

ANOVA Table Sum of Squares df Mean Square F Sig. PE MR Between Groups Combined 204.788 26 7.876 1.981 .010 Linearity 47.541 1 47.541 11.955 .001 Deviation from Linearity 157.247 25 6.290 1.582 .062 Within Groups 349.942 88 3.977 Total 554.730 114 ANOVA Table Sum of Squares df Mean Square F Sig. PE ES Between Groups Combined 139.149 8 17.394 4.436 .000 Linearity 89.914 1 89.914 22.934 .000 Deviation from Linearity 49.235 7 7.034 1.794 .096 Within Groups 415.582 106 3.921 Total 554.730 114

3. Multikolinearitas

Variables EnteredRemoved b Model Variables Entered Variables Removed Method 1 ES, MR a . Enter a. All requested variables entered. b. Dependent Variable: PE Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .428 a .183 .168 2.01160 a. Predictors: Constant, ES, MR ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression 101.518 2 50.759 12.544 .000 a Residual 453.212 112 4.047 Total 554.730 114 a. Predictors: Constant, ES, MR b. Dependent Variable: PE Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance VIF 1 Constant 5.881 1.087 5.408 .000 MR .056 .033 .158 1.693 .093 .842 1.188 ES .376 .103 .340 3.652 .000 .842 1.188 a. Dependent Variable: PE

4. Heteroskedastisitas

Variables EnteredRemoved b Model Variables Entered Variables Removed Method 1 ES, MR a . Enter a. All requested variables entered. b. Dependent Variable: ABS_RES Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .097 a .009 -.008 1.38235 a. Predictors: Constant, ES, MR ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression 2.025 2 1.013 .530 .590 a Residual 214.019 112 1.911 Total 216.044 114 a. Predictors: Constant, ES, MR b. Dependent Variable: ABS_RES Coefficients a Model Unstandardized Coefficients Standardized Coefficients T Sig. B Std. Error Beta 1 Constant 2.124 .747 2.842 .005 MR -.022 .023 -.100 -.973 .333 ES .006 .071 .008 .079 .937 a. Dependent Variable: ABS_RES

F. Uji Hipotesis