An automotive engineer computed a least-squares regression line for predicting the gas mileage (mpg) of a certain vehicle from its speed in mph. The results are presented in the following Excel output: What is the regression equation? Intercept Speed R-Sq Coefficients 40.69 -0.22 0.588 0.22X 0.588.X Og = 40.69 O = 40.69 Oy = -0.22 +40. 69 X O 0.588 - 0.22X

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 8E
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An automotive engineer computed a least-squares regression line for predicting the gas mileage (mpg) of a
certain vehicle from its speed in mph. The results are presented in the following Excel output:
What is the regression equation?
Intercept
Speed
R-Sq
Coefficients
40.69
-0.22
0.588.
Og = 40.69
0.22X
Oy =
40.69
0.588X
Oŷ = 0.22 + 40.69X
Oy = 0.588 0.22X
Transcribed Image Text:An automotive engineer computed a least-squares regression line for predicting the gas mileage (mpg) of a certain vehicle from its speed in mph. The results are presented in the following Excel output: What is the regression equation? Intercept Speed R-Sq Coefficients 40.69 -0.22 0.588. Og = 40.69 0.22X Oy = 40.69 0.588X Oŷ = 0.22 + 40.69X Oy = 0.588 0.22X
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