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 17

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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Definitions:

Expected Frequencies

In statistics, the numbers of observations or outcomes that one would expect to occur in each category if the null hypothesis were true.

Nonparametric Tests

Statistical tests not relying on data belonging to any particular distribution; often used when data does not meet the assumptions of parametric tests.

Normally Distributed

Describing a data set whose distribution forms a symmetrical, bell-shaped curve, with most values clustering around a central mean.

Conservative Strategy

A risk-averse approach to decision-making or investment that prioritizes preservation of capital over potential gains.