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

question 13

Multiple Choice

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

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