Answered: a. Ignore for now the months since the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Please assist with Part C

Time= + Person

Transcribed Image Text: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 Electrical Dave Newton 3.0 Mechanical Dave Newton 4.8 8. Electrical Bob Jones 1.8 Mechanical Dave Newton 2.9 2 Electrical Dave Newton 4.9 Electrical Bob Jones 4.2 6. Mechanical Bob Jones 4.8 8. Mechanical Bob Jones 4.4 4 Electrical Bob Jones 4.5 Electrical Dave Newton a. Ignore for now the months since the last maintenance service (1) 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 (T2 ). Recall that 2 = 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 Турe 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 0.4078 shows that the relationship is any reasonable value of a. not significant for c. Jonore for now the months since the Jastmaintenance senvice and the twoe.n enainlassociated the machine

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)
No
because the p-value of 0.4078
shows that the relationship is not significant
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 r3 = 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
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