Autocorrelation Test Classical Assumption Test a. Normality Test

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b. Partial Test T Test

Table 4.10 Partial Test T Test Coefficients a Model Unstandardized Coefficients Standardized Coefficients T Sig. ª Std. Error Beta 1 Constant .958 3.035 .316 .753 WCTO -.002 .020 -.010 -.080 .936 RECTO -.077 .046 -.231 -1.691 .096 INVTO .466 .328 .194 1.419 .162 CR .035 .011 .393 3.195 .002 a. Dependent Variable: ROI 1. Test the significance of working capital turnover X 1 in the regression model: From the table above, it can be seen that the working capital turnover variable t has a value of -0.080 with a significant level of 0.936, meaning that the variable working capital turnover has no significant effect toward ROI at the level of 1, 5, 10. 2. Test the significance of the coefficient of receivable turnover X 2 in the regression model: From the table above, it can be seen that the receivable turnover variable coefficient t -1.691 with a significant level of 0.096, meaning that the Receivable turnover variables has significant negative effect toward ROI at the level of 10. 0.096 0.10 3. Test the significance of the coefficient of inventory turnover X 3 in the regression model: 79 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.