Partially Correct

Check My Work

Johnson Filtration, Inc., provides maintenance service for water filtration systems throughout southern Florida. Customers contact Johnson with requests for maintenance service on their water filtration systems. To estimate the service time and the service cost, Johnson's managers want to predict the repair time necessary for each maintenance request. Hence, repair time in hours is the dependent variable. Repair time is believed to be related to three factors; the number of months since the last maintenance service, the type of repair problem (mechanical or electrical), and the repairperson who performs the repair (Donna Newton or Bob Jones). Data for a sample of 10 service calls are reported in the following table.

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Repair Time in Hours	Months Since Last Service	Type of Repair	Repairperson
2.9	2	Electrical	Donna Newton
3.0	6	Mechanical	Donna Newton
4.8	8	Electrical	Bob Jones
1.8	3	Mechanical	Donna Newton
2.9	2	Electrical	Donna Newton
4.9	7	Electrical	Bob Jones
4.2	9	Mechanical	Bob Jones
4.8	8	Mechanical	Bob Jones
4.4	4	Electrical	Bob Jones
4.5	6	Electrical	Donna Newton

Using the simple linear regression model developed in part (a), calculate the predicted repair time and residual for each of the ten repairs in the data.

If required, round your answers to four decimal places.

ALL THE PREDICTED REPAIR TIME IN HOUR AND RESIDUALS

Repair Time in Hours	Months Since Last Service	Type of Repair	Repairperson	Predicted Repair Time in Hours	Residuals
1.8	3	Mechanical	Donna Newton	?????	???????
3.0	6	Mechanical	Donna Newton
4.2	9	Mechanical	Bob Jones
2.9	2	Electrical	Donna Newton
2.9	2	Electrical	Donna Newton
4.8	8	Electrical	Bob Jones
4.8	8	Mechanical	Bob Jones
4.5	6	Electrical	Donna Newton
4.9	7	Electrical	Bob Jones
4.4	4	Electrical	Bob Jones