Homework Help is Here – Start Your Trial Now!
Math
Statistics
a. Ignore for now the months since the last maintenance service (¤1 ) and the repairperson who performed the ser 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 = 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 shows that the relationship is not significant v 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 23 =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.

a. Ignore for now the months since the last maintenance service (¤1 ) and the repairperson who performed the ser 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 = 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 shows that the relationship is not significant v 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 23 =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.

College Algebra (MindTap Course List)
College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter8: Sequences, Series, And Probability
Section8.CT: Chapter Test
Problem 16CT: How many six-digit license plates can be made if no plate begins with 0 or 1?
See similar textbooks
icon
Related questions
icon
Concept explainers
Question
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 3 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 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 (2 ). Recall that a = 0 if the type of repair is mechanical and 1 if the type of repair is electrical (to 2 decimals). Time = 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 shows that the relationship is not significant reasonable value of a. v for any eAssignmentMain.do?takeAssignmentSessionLocator=assignment-take.be934haf-ef95-13hc 200d 1ad0
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 3 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 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 (2 ). Recall that a = 0 if the type of repair is mechanical and 1 if the type of repair is electrical (to 2 decimals). Time = 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 shows that the relationship is not significant reasonable value of a. v for any eAssignmentMain.do?takeAssignmentSessionLocator=assignment-take.be934haf-ef95-13hc 200d 1ad0
a. Ignore for now the months since the last maintenance service (1 ) and the repairperson who performed the service. Develop the %3D estimated simple linear regression equation to predict the repair time (y) given the type of repair (a2 ). Recall that 2 = 0 if the type of repair is mechanical and 1 if the type of repair is electrical (to 2 decimals). Time 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 shows that the relationship is not significant v 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 23 = 0 if Bob Jones performed the service and Is =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
Transcribed Image Text:a. Ignore for now the months since the last maintenance service (1 ) and the repairperson who performed the service. Develop the %3D estimated simple linear regression equation to predict the repair time (y) given the type of repair (a2 ). Recall that 2 = 0 if the type of repair is mechanical and 1 if the type of repair is electrical (to 2 decimals). Time 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 shows that the relationship is not significant v 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 23 = 0 if Bob Jones performed the service and Is =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
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 8 steps with 10 images

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Knowledge Booster
Correlation, Regression, and Association
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
College Algebra (MindTap Course List)
College Algebra (MindTap Course List)
Algebra
ISBN:
9781305652231
Author:
R. David Gustafson, Jeff Hughes
Publisher:
Cengage Learning
Algebra: Structure And Method, Book 1
Algebra: Structure And Method, Book 1
Algebra
ISBN:
9780395977224
Author:
Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Publisher:
McDougal Littell
SEE MORE TEXTBOOKS