Multicollinearity Test Classical Assumption Test a. Normality Test
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From the results obtained by the F test that F
test
3,825 with a significance level of 0.008. F
table
is 2.54 obtained from V1 = k-1 = 5-1 = 4 and V2 = n-k = 60-5 = 55, so df = V1; V2 = 4; 55 then the value F
table
F 0.05; 4 ; 55 = 2.54. Because the value F
test
is greater than F
table
and significance level 0.05 then H
is rejected and H
1
is accepted. It means variable independent working capital turnover, receivable turnover,
inventory turnover, and current ratio have a significant positive effect toward the profitability ROI of the companys Automotive and
Components with a simultaneous. In addition to determine the effect of independent variables toward
the dependent variable, the analysis also showed that R square is essentially used to measure how far the models ability to explain variation in the
dependent variable. In Table 4.8 R square value of 0.161 means that about 16.1 percent of the variable profitability is affected by the independent
variable working capital turnover, receivables turnover, inventories turnover, and current ratio, while the remaining 83.9 percent of other
variables influenced from outside the model.
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