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. Assume that 22 = 1 if the type of repair is electrical and T3 = 1 if Dave Newton performed the service. Enter negative value as negative number. Time = bo + bj Months + by Type + by Person Round your answers to three decimal places. bo 1.695 b1 0.304 1.224 -0.545 b. At the 0.05 level of significance, test whether the estimated regression equation developed in part (a) represents a significant relationship between the independent variables and the dependent variable. Compute F test statistic (to 2 decimals). 19.20 Use Table 4 from Appendix B to determine the p-value. The p-value is |less than 0.01 What is your conclusion? The overall model is statistically significant c. Is the addition of the independent variable @3, the repairperson who performed the service, statistically significant? Use a = 0.05. Compute the t test statistic for the significance of 23 (to 2 decimals). Enter negative value as negative number. -1.42 Use Table 2 from Appendix B to determine the p-value. The p-value is ater than 0.10