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# An Automotive Engineer Computed a Least-Squares Regression Line for Predicting $\begin{array}{l|c} & \text { Coefficients } \\\hline \text { Intercept } & 40.6887885 \\\hline \text { Speed } & -0.22088256\end{array}$

Question 24
Multiple Choice
Question 24
Multiple Choice

## An automotive engineer computed a least-squares regression line for predicting the gas mileage (miles per gallon, or mpg) of a certain vehicle from its speed in mph. The results are presented in the following Excel output.$\begin{array}{l|c} & \text { Coefficients } \\\hline \text { Intercept } & 40.6887885 \\\hline \text { Speed } & -0.22088256\end{array}$Predict the gas mileage when the vehicle is traveling at 60 mph.

A)24.3 mpg
B)27 mpg
C)54 mpg
D)30 mpg

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