Johnson Filtration, Inc. provides maintenance service for water-filtration systems. Suppose that in addition to information on the number of months since the machine was serviced and whether a mechanical or an electrical repair was necessary, the managers obtained a list showing which repairperson performed the service. The revised data follow. Click on the datafile logo to reference the data. DATA file Repair Time Months Since in Hours Last Service Type of Repair Repairperson 2.9 2 Electrical Dave Newton 3.0 Mechanical Dave Newton CO O 4.8 Electrical Bob Jones 1.8 3 Mechanical Dave Newton 2.9 N Electrical Dave Newton 4.9 7 Electrical Bob Jones 4.2 Mechanical Bob Jones 4.8 Mechanical Bob Jones 4.4 Electrical Bob Jones 4.5 6 Electrical Dave Newton a. Ignore for now the months since the last maintenance service (21 ) 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 (22 ). Recall that x2 = 0 if the type of repair is mechanical and 1 if the type of repair is electrical (to 2 decimals). Time = Type b. Does the equation that you developed in part (a) provide a good fit for the observed data? Explain. (to 4 decimals) No because the p-value of shows that the relationship is not significant V U 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 +3 = 0 if Bob Jones performed the service and 23 = 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