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
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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.)
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
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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