Elimination Process, where Sales is the dependent variable (Y) and the rest are independent variables. Describe the procedure and all the models in Backward Elimination Process. (12. Construct a linear regression, where Sales is the dependent variable (Y) and the rest are independent variables. In {c} {d} below, specify the null and alternative hypotheses, the test used, and your conclusion using a 5% level of significance. What can you analyze from the regression output. What do you suggest from residual analysis regarding outliers. Test the hypothesis that the variable Female is not needed in the regression equation relating Sales to the five predictor variables. Test the hypothesis that the variables Female and HS are not needed in the above regression equation. Compute the 99% confidence interval for the true regression coefficient of the variable Income. B} What percentage of the variation in Sales can be accounted for when Income is removed from the above regression equation? Explain. What percentage of the variation in Sales can be accounted for by the three variables: Price, Age, and Income? Explain. What percentage of the variation in Sales that can be accounted for by the variable Income, when Sales is