a. Ignore for now the months since the last maintenance service (71 ) and the repairperson who performed the service. Develop the estimated simple linear regression equation to predict the repair time (y) given the type of repair (2 ). Recall that 22 =0 if the type of repair is mechanical and 1 if the type of repair is electrical (to 2 decimals). Time = 3.45 0.62 Туре b. Does the equation that you developed in part (a) provide a good fit for the observed data? Explain. (to 4 decimals) because the p-value of 0.4078 shows that the relationship is not significant No for any reasonable value of a. c. Ignore for now the months since the last maintenance service and the type of repair associated with the machine. Develop the estimated simple linear regression equation to predict the repair time given the repairperson who performed the service. Let 23 =0 if Bob Jones performed the service and 3 = 1 if Dave Newton performed the service (to 2 decimals). Enter negative value as negative number. Time = Person d. Does the equation that you developed in part (c) provide a good fit for the observed data? Explain. Repairperson is a better predictor of repair time than the type of repair v