Stepwise regression technique was algorithm for including and excluding independent variables, used to select adequate model with the highest coefficient of determination (R2). The selected model identified the multicollinearity by examining the variance inflation factor (VIF), i.e. a VIF value less than 5 indicated absence of multicollinearity. Durbin–Watson Test was used to explore the independent of error term.