1. Treating Cost/Mile as the dependent variable, develop an estimated regression with Family-Sedan and Upscale-Sedan as the independent variables. Discuss your findings.
2. Treating Value Score as the dependent variable, develop an estimated regression equation using Cost/Mile, Road-Test Score, Predicted Reliability, Family-Sedan, and Upscale-Sedan as the independent variables.
3. Delete any independent variables that are not significant from the estimated regression equation developed in part 2 using a level of significance. After deleting any independent variables that are not significant, develop a new estimated regression equation.
4. Suppose someone claims that smaller cars provide better values than larger cars. For the data in this case, the Small Sedans represent the smallest type of car and the Upscale Sedans represent the largest type of car. Does your analysis support this claim?
5. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the value of the Road-Test Score.
6. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the Predicted Reliability.
7. Whatconclusionscanyouderivefromyouranalysis?