Heteroscedastisity Test Classical Assumption Test a. Normality Test
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From the table above, it can be seen that the Inventory turnover has variable coefficient t 1,419 with a significant level of 0.162, meaning
that the variable Inventory turnover has no significant effect toward ROI at level of 1, 5, 10.
4. Test the significance of the coefficient of current ratio X
4
in the regression model:
From the table above, it can be seen that the variable coefficient t 3,195 receivable turnover with a significant level of 0.002, meaning
that the variable current ratio has significantly positive effect toward ROI at the level of 1. 0.0020.01
From the table above equation or the regression model as follows: Y= 0.958 - 0.077 X
2
+ 0.035 X
4
Where, X
2
= Receivable Turnover X
4
= Current Ratio Based on the regression equation can be seen that:
1. Constants of 0.958 states that if the value of the independent variable is zero, then the amount of ROI is 0.958
2. Regression coefficient of receivables turnover 0.077 by stating that each additional 1 from variable receivables turnover -
then the value of Y ROI will be reduced by 0.077 which other variables held constant.
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3. Regression coefficient of current ratio of 0.035 states that each additional 1 from variable current ratio + then the value of Y
ROI will increase by 0.035 which other variables held constant.