In the Following Regression, Which Are the Three Best Predictors

Multiple Choice

In the following regression, which are the three best predictors? $$\begin{array} { l r r r r } \hline \text { Variables } & \text { Coefficients } & \text { Std. Error } & t ( d f = 81 ) & p \text {-value } \\\hline \text { Intercept } & 9.8080 & 16.9900 & 0.577 & .5654 \\\text { NumCyl } & - 1.6804 & 0.5757 & - 2.919 & .0045 \\\text { HPMax } & - 0.0369 & 0.0140 & - 2.630 & .0102 \\\text { ManTran } & 0.2868 & 1.2802 & 0.224 & .8233 \\\text { Length } & 0.1109 & 0.0601 & 1.845 & .0686 \\\text { Wheelbase } & - 0.0701 & 0.1714 & - 0.409 & .6836 \\\text { Width } & 0.4079 & 0.2922 & 1.396 & 1665 \\\text { RearStRm } & - 0.0085 & 0.2018 & - 0.042 & .9666 \\\text { Weight } & - 0.0025 & 0.0020 & - 1.266 & .2090 \\\text { Domestic } & - 1.2291 & 1.1391 & - 1.079 & .2838 \\\hline\end{array}$$

A) ManTran, Wheelbase, RearStRm
B) ManTran, Length, Width
C) NumCyl, HPMax, Length
D) Cannot be ascertained from given information