178 5488 (a) Determine the linear regression model that will best predict the EPA fuel efficiency estimates (MPG) of a vehicle based on its curb weight. (b) How well does the linear regression model fit this sample data? (c) For a vehicle that weighs 4000 pounds, predict its EPA fuel efficiency estimate.
178 5488 (a) Determine the linear regression model that will best predict the EPA fuel efficiency estimates (MPG) of a vehicle based on its curb weight. (b) How well does the linear regression model fit this sample data? (c) For a vehicle that weighs 4000 pounds, predict its EPA fuel efficiency estimate.
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
The following table displays the EPA fuel efficiency estimates (in miles per gallon) and the curb
weight (in pounds) for a random sample of current year model vehicles.
MPG 23 18 28 19 25 17 18 14
Weight 3184 3598 2734 4082 2623 4685 4178 5488
(a) Determine the linear regression model that will best predict the EPA fuel efficiency estimates
(MPG) of a vehicle based on its curb weight.
(b) How well does the linear regression model fit this sample data?
(c) For a vehicle that weighs 4000 pounds, predict its EPA fuel efficiency estimate.
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