An Automotive Engineer Computed a Least-Squares Regression Line for Predicting $\begin{array} { l | c } & \text { Coefficients } \\\hline \text { Intercept } & 38.5176991 \\\hline \text { Speed } & - 0.19495575\end{array}$

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.

$\begin{array} { l | c } & \text { Coefficients } \\\hline \text { Intercept } & 38.5176991 \\\hline \text { Speed } & - 0.19495575\end{array}$

Predict the gas mileage when the vehicle is traveling at 56 mph.

A) 25.2 mpg
B) 49 mpg
C) 28 mpg
D) 31 mpg