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 z3 = 0 if Bob Jones performed the service and z3 =1 if Dave Newton performed the service (to 2 decimals). Enter negative value as negative number. Time = 4.58 -1.54 Person

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Please assist with Part C Time & Person. The answer I received is incorrect. 

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Install MAC Clean Booster ..
CENGAGE MINDTAP
apter 15 Assignment
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 (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
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 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 I3 = 0 if
Bob Jones performed the service and I3
1 if Dave Newton performed the service (to 2 decimals). Enter negative value as negative
number.
Time =
4.58
-1.54
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
Hide Feedback
Partially Correct
Hint(s) Check My Work
0- Icon Key
Transcribed Image Text:nt be at risk ansanswers.com Install MAC Clean Booster .. CENGAGE MINDTAP apter 15 Assignment 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 (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 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 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 I3 = 0 if Bob Jones performed the service and I3 1 if Dave Newton performed the service (to 2 decimals). Enter negative value as negative number. Time = 4.58 -1.54 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 Hide Feedback Partially Correct Hint(s) Check My Work 0- Icon Key
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
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
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