xplain. 36. This problem is an extension of the situation described in exercise 35. a. Develop the estimated regression equation to predict the repair time given the number of months since the last maintenance service, the type of repair, and the repairperson who performed the service. b. At the .05 level of significance, test whether the estimated regression equation devel- oped in part (a) represents a significant relationship between the independent variables and the dependent variable. C. Is the addition of the independent variable x3, the repairperson who performed the ser- vice, statistically significant? Use a = .05. What explanation can you give for the results observed? 37. The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 Economics 326 Assignment #4 Please use statistical software (Excel, for example) to estimate sample multiple regression line. For all problems, please write down the estimated sample regression lines in the standard format, and explain the meaning of coefficient of determination or R Square, as well as the meaning of each and all estimated coefficients (including the intercept) in the context of each problem and in plain English. Set #1 Page 705, problems 24 and 25 Set #2 Page 715, problems 35, 36, and 37 Set #3 Page 842, problems 30, 31