3. Multicollinearity
Multicollinearity was intended to test the linear relationship between the independent variable with the other independent variables. Based on the
analysis of the data obtained the following results:
Table 18. The Result of Multicollinearity Test
No Variable Tolerance
VIF Conclusion
1 Moving Class Implementation 0.853
1.173 There is no
multico- llinearity
2 Accounting Classrooms
Facilities 0.853
1.173 Source : Primary Data Processed
Tolerance limit score is 0.1 and the VIF limit is 10. It shows that if the tolerance score is below 0.1 or VIF is above 10, there is a multicollinearity
disruption. The VIF score of Moving Class Implementation and Accounting Classrooms Facilities is 1.173, so it can be concluded that there is no
multicollinearity.
4. Heteroscedasticity
Heteroscedasticity is intended to determine whether there are variations in the residual absolute, equal or not for all observations. Heteroscedasticity
testing is done with Park Test. Based on the analysis of the data obtained the following results:
Table 19. The Result of Heteroscedasticity Test No
Variable Sig.
Conclusion
1 Moving Class Implementation
0.082 There is no
heteroscedasticity 2
Accounting Classrooms Facilities 0.770
Source : Primary Data Processed The significances of Moving Class Implementation variables is 0.082
and significances of Accounting Classrooms Facilities variable is 0.770. F
emp
were found to be 1.645 with 0.201 significances, each variable has significances more than 0.05, it can be concluded that there is no
heteroscedasticity.
C. Hypothesis Testing
The analysis technique used to test the first and second hypothesis in this study is an analysis one predictors, while the third hypothesis is by two predictor
multiple regression analysis. Both of these analysis techniques using SPSS Statistics 17.0 for windows. The results of these two analyzes were elaborate the
influence of each independent variable, such as Moving Class Implementation X
1
and the Accounting Classrooms Facilities X
2
on Students’ Learning Motivation in Accounting Learning Y that is presented in the following table: