Miles Filtration, Inc. provides maintenance services for water filtration systems throughout Southern Florida. Customers contact Johnson with requests for maintenance service on their water filtration systems. To estimate 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: Develop the multiple regression equation to predict repair time, given the number of months since the last maintenance service, the repairperson, and the type of repair. What are the interpretations of the estimated regression parameters? What does the coefficient of determination tell you about this model? Please show the work in Excel.

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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Miles Filtration, Inc. provides maintenance services for water filtration systems throughout Southern Florida. Customers contact Johnson with requests for maintenance service on their water filtration systems. To estimate 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:

Develop the multiple regression equation to predict repair time, given the number of months since the last maintenance service, the repairperson, and the type of repair.

What are the interpretations of the estimated regression parameters?

What does the coefficient of determination tell you about this model?

Please show the work in Excel.

 

 

 

 

Repair Time
in Hours
2.9
3.0
4.8
1.8
2.9
4.9
4.2
4.8
4.4
4.5
Months Since
Last Service
2
683
2
7
984
9
6
Type of
Repair
Electrical
Mechanical
Electrical
Mechanical
Electrical
Electrical
Mechanical
Mechanical
Electrical
Electrical
Repairperson
Donna Newton
Donna Newton
Bob Jones
Donna Newton
Donna Newton
Bob Jones
Bob Jones
Bob Jones
Bob Jones
Donna Newton
Transcribed Image Text:Repair Time in Hours 2.9 3.0 4.8 1.8 2.9 4.9 4.2 4.8 4.4 4.5 Months Since Last Service 2 683 2 7 984 9 6 Type of Repair Electrical Mechanical Electrical Mechanical Electrical Electrical Mechanical Mechanical Electrical Electrical Repairperson Donna Newton Donna Newton Bob Jones Donna Newton Donna Newton Bob Jones Bob Jones Bob Jones Bob Jones Donna Newton
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