43
Autocorrelation Test Results
Model Summary
b
Model R
R Square Adjusted R Square
Std. Error of the Estimate
Durbin-Watson 1
.542
a
.294 .258
7.96651 1.814
a. Predictors: Constant, SG X4, GO X3, Manag X2, indepent X1 b. Dependent Variable: Cons Y
Source: Data Processed
If the numbers Durbin Watson below -2 means there is positive autocorrelation, when between -2 to 2 means no autocorrelation, while more
than 2 means there is a negative autocorrelation. The results of data processing showed that D-W = 1.814. so that, there is no autocorrelation
Sufren and Natanael, 2014.
3. Hypothesis Testing
a. Coefficient of Determination R
2
Table 4.7 Coefficient Determination Test Results R
2
Model Summary
b
Model R
R Square Adjusted R Square
Std. Error of the Estimate
Durbin-Watson 1
.542
a
.294 .258
7.96651 1.814
a. Predictors: Constant, SG X4, GO X3, Manag X2, indepent X1 b. Dependent Variable: Cons Y
Source: Data Processed
The result of the calculation produces adjusted R-square is equal to 0.258 or 26 which demonstrates the ability Indepent, manag, GO and SG in
44
explaining the variations that occur in accounting conservatism by 26 while the remaining 74 is explained by other variables not examined in this study.
To avoid bias, the coefficient of determination used in this research is by using Adjusted R Square because it can go up or down if the independent variable is
added to the model. If the test Adjusted R Square obtained value is negative, then the value of Adjusted R Square is zero Kuncoro, 2009: 221.
b. Multiple Regression Analysis Result
Multiple regression analysis is used to describe the relationship of variables - independent variables are Indepent, Manag, GO and SG on the
dependent variable, namely Accounting conservatism. The results of multiple regression analysis are shown in Table 4.8:
Table 4.8 Multiple Regression Data Results
E s
t i
m a
Estimation Model : Y = 17.196 + -8.538X
1
+ -7.494X
2
+ 2.718X
3
+ 14.122X
4
+ e
Coefficients
a
Model Unstandardized Coefficients
Standardized Coefficients
T Sig.
B Std. Error
Beta 1
Constant 17.196
4.541 3.787
.000 indepent X1
-8.538 9.178
-.092 -.930
.355 Manag X2
-7.494 6.725
-.108 -1.114
.269 GO X3
2.718 .537
.489 5.064
.000 SG X4
14.122 5.994
.230 2.356
.021 a. Dependent Variable: Cons Y
45
From the table above it can be seen that the value of the constant is 17.196, Indepent coefficient of -8.538, Manag coefficient of -7.494, GO
coefficient of 2.718, the coefficient SG amounted to 14.122. α 17.196, This means that if the independent variable managerial ownership,
indepedent commissioner, growth opportunities and sales growth is zero, then the dependent variable accounting conservatism will be worth 17.196 units.
β -8.538, means that if the Independent Commissioner variable increases by one unit and the other variables constant, the dependent variable is the
accounting conservatism will be decreased 8.538units. β -7.494, This means that if the variable Managerial Ownership increased by
one unit and the other variables constant, the dependent variable is the accounting conservatism will decrease 7.494units.
β 2.718, This means that if the variable Growth Opportunities increased by one unit and the other variables constant, the dependent variable is the
accounting conservatism will increase 2.718 units
.
β 14.122, This means that if the variable Growth Sales increased by one unit and the other variables constant, the dependent variable is the accounting
conservatism will increase 14.122 units.
The following are the test results of individual parameter significance of each independent variable on the dependent variable:
1. Independent commissioner
46
See table 4.8 regression coefficient of -8.538 and Tcount value of -0.930 with a significant value of 0.355
greater than α 0.05, then it can be concluded that the Independent commissioner has no effect on accounting conservatism
Sufren and Natanael, 2014. 2. Managerial Ownership
See table 4.8 regression coefficient of -7.494and Tcount value of -1.114 with a significant value of 0.269
greater than α 0.05, then we can conclude that managerial ownership has no effect on accounting conservatism Sufren and
Natanael, 2014. 3. Growth Opportunities
See table 4.8 regression coefficient of 2.718 and the value Tcount of 5.064 with significant value of 0.000 smaller than α 0.05, then it can be concluded
that growth opportunities has effect on accounting conservatism Sufren and Natanael, 2014.
4. Sales Growth See table 4.8 regression coefficient of 14.122 and Tcount of 2.356 with
significant value of 0,021 is smaller than α 0.05, then it can be concluded
that the sales growth has effect on accounting conservatism Sufren and Natanael, 2014
c. Significant Partial Test T-Test
