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Exercise 14-36 Algo The maintenance manager at a trucking company wants to build a regression model to forecast the time (in years) until the first

Exercise 14-36 Algo

The maintenance manager at a trucking company wants to build a regression model to forecast the time (in years) until the first engine overhaul based on four predictor variables: (1) annual miles driven (in 1,000s of miles), (2) average load weight (in tons), (3) average driving speed (in mph), and (4) oil change interval (in 1,000s of miles). Based on driver logs and onboard computers, data have been obtained for a sample of 25 trucks. A portion of the data is shown in the accompanying table.

TimeMilesLoadSpeedOil
7.943.119.045.016.0
0.898.127.044.030.0
?????
6.361.624.057.019.0

Click here for the Excel Data File b.Estimate the regression model.(Negative values should be indicated by a minus sign. Round your answers to 4 decimal places.)

image text in transcribedimage text in transcribed
Predicted Time = + Miles + Load + Speed + Oil

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