Use the Following Computer Data,which Refers to Bear Measurements,to Answer

Use the following computer data,which refers to bear measurements,to answer the question.
Dependent variable is Weight
S = 32.49 R-Sq = 96.9% R-Sq (adj) = 94.6% $$\begin{array} { l | c | c | c | c } \text { Predictor } & \text { Coef } & \text { SE Coef } & \text { T } & \text { P } \\\hline \text { Constant } & - 285.21 & 78.45 & - 3.64 & 0.022 \\\text { Age } & - 1.3838 & 0.9022 & - 1.53 & 0.200 \\\text { Head Width } & - 11.24 & 20.88 & - 0.54 & 0.619 \\\text { Neck } & 28.594 & 5.870 & 4.87 & 0.007\end{array}$$ Analysis of Variance $$\begin{array} { l | c | c | c | c | c } \text { Source } & \text { DF } & \text { SS } & \text { MS } & \text { F } & \text { P } \\\hline \text { Regression } & 3 & 132425 & 44142 & 41.81 & 0.002 \\\text { Residual Error } & 4 & 4223 & 1056 & & \\\text { Total } & 7 & 136648 & & &\end{array}$$
-Which measurement is the best predictor of salary,after allowing for the linear effects of the other variables in the model?

A) Months of service
B) Words per minute of typing speed
C) Score on standardized test
D) Years of education
E) Ability to take dictation in words per minute