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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%  Predictor  Coef  SE Coef  T  P  Constant 285.2178.453.640.022 Age 1.38380.90221.530.200 Head Width 11.2420.880.540.619 Neck 28.5945.8704.870.007\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  Source  DF  SS  MS  F  P  Regression 31324254414241.810.002 Residual Error 442231056 Total 7136648\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?


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