Based on These Regression Results, in Your Judgment Which Statement

Multiple Choice

Based on these regression results, in your judgment which statement is most nearly correct (Y = highway miles per gallon in 91 cars) ? $$\begin{array}{l}\begin{array} { r r r r } \mathrm { R } ^ { 2 } & 0.499 & & \\\text { Adjusted } \mathrm { R } ^ { 2 } & 0.444 & \mathrm { n } & 91 \\\mathrm { R } & 0.707 & \mathrm { k } & 9\end{array}\\\begin{array} { l l l } \text { Std. Error } & 4.019 & \text { Dep. Var. HwyMPG }\end{array}\\\begin{array} { l r r r r r } \hline \text { Source } & \text { SS } & d f & M S & F & p \text {-value } \\\hline \text { Regression } & 1,305.7251 & 9 & 145.0806 & 8.98 & .0000 \\\text { Residual } & 1,308.3848 & 81 & 16.1529 & & \\\hline \text { Total } & 2,614.1099 & 90 & & & \\\hline\end{array}\end{array}$$

A) The number of predictors is rather small.
B) Some predictors are not contributing much.
C) Prediction intervals would be fairly narrow in terms of MPG.
D) The overall model lacks significance and/or predictive power.