Heteroscedasticity Test The Influence of Good Corporate Governance (GCG) Implementation Toward Quality Sustainability Reporting (SR) Disclosure (Survey on Indonesia Companies Listed in Indonesia Stock Exchange)

81 Y = 1. 163 -0.016X 1 -0.484X 2 +0.015X 3 +ε From the multiple linear regression equation above, it can be explained for each variable as follows: 1. Constant at 1. 163 units stated that if there is no influence or change into size of Board of Commissioners BOC, size of Independent Commissioner IC and size of Audit Committee AC, then the value of firm value will be 1. 163. 2. Regression coefficient of Board of Commissioners BOC marked negative at -0.016. It shows that the influence of Board of Commissioners BOC on the quality of Sustainability Report Disclosure is negative, which means that if the value or number of Board of Commissioners BOC is increased by one point, then GRI index will decrease by -0.016 or on the contrary, with assumption variables X2 and X3, remain or unchanged. 3. Regression coefficient of size of Independent Commissioner IC marked negative at -0.484. It shows that the influence of size of Independent Commissioner IC on the quality of Sustainability Report Disclosure is negative, which means that if the value or number of Independent Commissioner IC is increased by one point, then GRI index will increase by -0.484 or on the contrary, with assumption variables X1 and X3, remain or unchanged. 4. Regression coefficient of size of Audit Committee AC marked positive at 0.015 . It shows that the influence of size of Audit Committee AC on the quality of Sustainability Report Disclosure is positive, which means that if the value or number of Audit Committee AC is increased by one point, then GRI index will increase by 0.015 or on the contrary, with assumption variables X1 and X2, remain or unchanged. 82

a. Simultaneous Regression Analysis Test - F

Test of F statistic is basically indicates whether independent variables altogether can influence the dependent variable. In this research, F test done by seeing probability value. ANOVA a Model Sum of Squares df Mean Square F Sig. 1 Regression .135 3 .045 3.541 .028 b Residual .330 26 .013 Total .465 29 a. Dependent Variable: SR b. Predictors: Constant, SIC, BOC, AC Source: Processed from secondary data SPSS ver 21.0 Based on table above, the result of F test shows that value of F is 3.541 and probability value is 0,028 0,05 sig. F 0.05. This result indicates that the variable of GRI G3 Index is simultaneously influenced by size of Board of Commissioners BOC, size of Independent Commissioner IC and size of Audit Committee AC

b. Partial Regression Testing T-test

Test of t statistic performed to determine the effect of one independent variable towards the dependent variable. In this research, t test done by seeing probability value. Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance VIF 1 Constant 1.163 .119 9.792 .000 BOC -.016 .008 -.335 -2.145 .042 .940 1.064 SIC -.484 .180 -.414 -2.685 .012 .964 1.037 AC .015 .013 .189 1.197 .242 .916 1.092 a. Dependent Variable: SR Source: Processed from secondary data SPSS ver 21.0

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