The goal is to develop the best regression model to predict the dependent variable. The analysis should cover (but not limited to) the following:
1) Test visually to see if the LINE assumptions are met.
2) Use the t-stat values to eliminate insignificant independent variables.
3) Check for multicollienearity among the independent variables.
4) Comment on the explanatory power of the final model
The paper should list the steps leading to the choice of the final model and justify the choice.
Attachment:- Auto4-1 (2).xls