CLASSICAL ASSUMPTION TESTS DATA ANALYSIS

B. CLASSICAL ASSUMPTION TESTS

This study includes several classic assumption tests: 1. Autocorrelation Test Autocorrelation test is performed to determine any indication of correlation in a time series observations. Autocorrelation test is done by calculating the value of Durbin-Watson in every regression model: Table 4.2 Autocorrelation Test Results DURBIN-WATSON SCORE Conclusion MODEL 1 0.281 Autocorrelation MODEL 2 0.075 Autocorrelation MODEL 3 1.552 Autocorrelation MODEL 4 1.125 Autocorrelation ROBUST 1 0.271 Autocorrelation ROBUST 2 0.074 Autocorrelation ROBUST 3 1.551 Autocorrelation ROBUST 4 1.124 Autocorrelation Source: Processed Data Autocorrelation normally occurs in the time series data, including the data used in this study. 2. Multicollinearity Test Multicollinearity test is conducted to identify whether there is a strong correlation between two or more independent variables or not. The table below shows the results of multicollinearity test for both regression models: Table 4.3 Multicollinearity Test Results I ROE SOE LOCAL FOREIGN VENTURE LNTA EQTA LDR ROE 1 SOE -0.11461 1 LOCAL 0.09893 -0.12805 1 FOREIGN 0.19757 -0.06418 -0.14773 1 VENTURE 0.03181 -0.08813 -0.20284 -0.10167 1 LNTA 0.085716 0.44413 -0.03024 0.111204 0.057519 1 EQTA -0.07509 -0.07475 -0.18237 -0.20563 0.008002 -0.42899 1 LDR -0.00538 -0.05173 -0.19606 0.199326 0.16873 -0.06309 0.199686 1 Source: Processed Data Table 4.4 Multicollinearity Test Results II ROE SOELOC VENFOR LNTA EQTA LDR ROE 1 SOELOC 0.03533 1 VENFOR 0.15373 -0.30371 1 LNTA 0.085716 0.19271 0.11954 1 EQTA -0.07509 -0.20743 -0.12575 -0.42899 1 LDR -0.00538 -0.20876 0.26506 -0.06309 0.19686 1 Source: Processed Data When the correlation score is 0.90 or above, the variable might be suffers the multicollinearity problem. From the table above, it can be concluded that this research do not have multicollinearity effect. 3. Heteroscedasticity Test Heteroscedasticity test in this study was not done separately, but rather included as a factor considered in the regression test.

C. EMPIRICAL RESULTS