2. Consider the data Repair. a) Develop the estimated simple linear regression equation to predict the repair time (y) given the type of repair (x₁). x₁ = 0 if the type of repair is mechanical and 1 if the repair is electrical. b) Does the equation developed in part (a) provide a good fit? c) Develop the estimated linear regression equation to predict the repair time (y) given the type of repair (x₁) and the repairperson who performed the service (x₂). x₁ = 0 if the type of repair is mechanical and 1 if the repair is electrical. X₂ = 0 if Bob Jones performed the service and 1 if Dave Newton performed the service. d) Between (a) and (c), which one is a better fit? Why?
2. Consider the data Repair. a) Develop the estimated simple linear regression equation to predict the repair time (y) given the type of repair (x₁). x₁ = 0 if the type of repair is mechanical and 1 if the repair is electrical. b) Does the equation developed in part (a) provide a good fit? c) Develop the estimated linear regression equation to predict the repair time (y) given the type of repair (x₁) and the repairperson who performed the service (x₂). x₁ = 0 if the type of repair is mechanical and 1 if the repair is electrical. X₂ = 0 if Bob Jones performed the service and 1 if Dave Newton performed the service. d) Between (a) and (c), which one is a better fit? Why?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
***PLEASE INCLUDE EXCEL OUTPUT WITH YOUR RESPONSE
Transcribed Image Text:Repair Time
(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
6
8
3
2
7
9
8
4
Data
6
Type of
Repair
Repairperson
electrical
Dave Newton
mechanical Dave Newton
electrical
Bob Jones
mechanical
Dave Newton
electrical
Dave Newton
electrical
mechanical
mechanical
electrical
electrical
Page 1
Bob Jones
Bob Jones
Bob Jones
Bob Jones
Dave Newton
Transcribed Image Text:2. Consider the data Repair.
a) Develop the estimated simple linear regression equation to predict the repair time (y) given
the type of repair (x₁). x₁ = 0 if the type of repair is mechanical and 1 if the repair is
electrical.
b) Does the equation developed in part (a) provide a good fit?
c) Develop the estimated linear regression equation to predict the repair time (y) given the
type of repair (x₁) and the repairperson who performed the service (x₂). x₁ = 0 if the type
of repair is mechanical and 1 if the repair is electrical. X₂ = 0 if Bob Jones performed the
service and 1 if Dave Newton performed the service.
d) Between (a) and (c), which one is a better fit? Why?
Answer:
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VIEWStep 4: Develop the estimated linear regression equation between y, x1 and x2
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