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
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