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. Time Miles 8.1 42.8 Load 22.0 Speed 50.0 Oil 10.0 0.9 98.7 26.0 49.0 25.0 6.1 61.6 28.0 54.0 16.0 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.) Predicted Time= Miles + Load Speed + Oil d. What is the predicted time before the first engine overhaul for a particular truck driven 57,000 miles per year with an average load of 18 tons, an average driving speed of 57 mph, and 18,000 miles between oil changes. (Do not round intermediate calculations. Round final answer to 2 decimal places.) Predicted Time years
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. Time Miles 8.1 42.8 Load 22.0 Speed 50.0 Oil 10.0 0.9 98.7 26.0 49.0 25.0 6.1 61.6 28.0 54.0 16.0 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.) Predicted Time= Miles + Load Speed + Oil d. What is the predicted time before the first engine overhaul for a particular truck driven 57,000 miles per year with an average load of 18 tons, an average driving speed of 57 mph, and 18,000 miles between oil changes. (Do not round intermediate calculations. Round final answer to 2 decimal places.) Predicted Time years
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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Transcribed Image Text: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.
Time
Miles
8.1
42.8
Load
22.0
Speed
50.0
Oil
10.0
0.9
98.7
26.0
49.0
25.0
6.1
61.6
28.0
54.0
16.0
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.)
Predicted Time=
Miles +
Load
Speed +
Oil
d. What is the predicted time before the first engine overhaul for a particular truck driven 57,000 miles per year with an average load
of 18 tons, an average driving speed of 57 mph, and 18,000 miles between oil changes. (Do not round intermediate calculations.
Round final answer to 2 decimal places.)
Predicted Time
years
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