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Researchers record the fuel consumption of a car y (in miles per gallon) at various speeds x (in miles per hour). Using software, they determine that the least-squares regression line of their data is  y^=70.243−0.329x       If the observed fuel consumption of the car was y = 49y=49 mpg while moving at a speed of x = 20x=20mph, what would be the error (i.e., residual) in the predicted fuel consumption at this speed found with the least-squares regression line?

Researchers record the fuel consumption of a car y (in miles per gallon) at various speeds x (in miles per hour). Using software, they determine that the least-squares regression line of their data is  y^=70.243−0.329x       If the observed fuel consumption of the car was y = 49y=49 mpg while moving at a speed of x = 20x=20mph, what would be the error (i.e., residual) in the predicted fuel consumption at this speed found with the least-squares regression line?

MATLAB: An Introduction with Applications
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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Researchers record the fuel consumption of a car y (in miles per gallon) at various speeds x (in miles per hour). Using software, they determine that the least-squares regression line of their data is 

y^=70.243−0.329x

 

 

 

If the observed fuel consumption of the car was y = 49y=49 mpg while moving at a speed of x = 20x=20mph, what would be the error (i.e., residual) in the predicted fuel consumption at this speed found with the least-squares regression line?

 

(Do not round your answer.)

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