Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable.
Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable.
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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Question
An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year
Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable.
y=enter your response herex+enter your response here
(Round the x coefficient to five decimal places as needed. Round the constant to two decimal places as needed.)

Transcribed Image Text:e treating w
I and MPG
Weight
(pounds), x
3753
3795
2760
3576
3349
3045
3802
2672
3528
3828
3272
Miles per
Gallon, y
17
15
25
20
22
22
16
20
Done
0
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