An Automotive Engineer Computed a Least-Squares Regression Line for Predicting $\begin{array} { l | c } & \text { Coefficients } \\\hline \text { Intercept } & 38.3949789 \\\hline \text { Speed } & - 0.18832886\end{array}$

Multiple Choice

An automotive engineer computed a least-squares regression line for predicting the gas mileage (mile per gallon) of a certain vehicle from its speed in mph. The results are presented in the Following Excel output.

$\begin{array} { l | c } & \text { Coefficients } \\\hline \text { Intercept } & 38.3949789 \\\hline \text { Speed } & - 0.18832886\end{array}$
Write the equation of the least-squares regression line.

A) y=-38.394979+0.18832886 x
B) y=38.3949789-0.18832886 x
C) y=38.3949789+0.18832886 x
D) y=-0.18832886+38.3949789 x