Which Statement Best Describes This Regression (Y = Highway Miles

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

A) Statistically significant but large error in the MPG predictions
B) Statistically significant and quite small MPG prediction errors
C) Not quite significant, but predictions should be very good
D) Not a significant regression at any customary level of ?