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 weight,after allowing for the linear effects of the other variables in the model?

A) Age
B) Sex
C) Length
D) Neck
E) Head Width