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An analyst at a local automotive garage wanted to see if there were relationships between repair...

An analyst at a local automotive garage wanted to see if there were relationships between repair time in hours (y) and months since last service(x1), type of repair(x2), whether it was a truck or car(x3), or the mileage of the vehicle(x4). Use a level of significance of 0.05. 1. What is the dependent variable? 2. What are the independent variables? 3. Run the regression analysis with the four independent variables. Write out the prediction equation. 4. From a global perspective is the model worth keeping? Why? 5. Evaluate the individual independent variables, circle the variables would you consider removing? Explain why? X1 X2 X3 X4 6. Rerun the regression analysis after removing the unnecessary independent variables. Write the regression equation: 7. What repair time will it take for a car with 90000 miles, not serviced for six months, and requires for electrical repairs?

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31) dependent van→ gepahHmeo,houn(Y) 4) Yes, modes is wooth Kasping 5) x should he Removed tis not uwcoth to koup in Modelanswering only first four question is mandatory as per HomeworkLib policy

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