We have data on 143 brown bears and we construct a model to predict weight based

Question

We have data on 143 brown bears and we construct a model to predict weight based on head length and width, neck girth, length of the body, and chest girth. Partial regression output is shown below.

The regression equation is Weight = - 274 - 4.23 Head.L - 0.51 Head.W + 7.06 Neck.G + 0.807 Length+ 8.98 Chest.G
Predictor Coef SE Coef t P Constant –273.71 18.83 –14.53 0.000 Head.L –4.231 2.810 –1.51 0.134 Head.W –0.510 2.891 –0.18 0.860 Neck.G 7.056 1.460 4.83 0.000 Length 0.8069 0.6312 1.28 0.203 Chest.G 8.9758 0.8655 10.37 0.000 What are the degrees of freedom for the model? 137 5 6 We have data on 143 brown bears and we construct a model to predict weight based on head length and width, neck girth, length of the body, and chest girth. Partial regression output is shown below.

The regression equation is Weight = - 274 - 4.23 Head.L - 0.51 Head.W + 7.06 Neck.G + 0.807 Length+ 8.98 Chest.G
Predictor Coef SE Coef t P Constant –273.71 18.83 –14.53 0.000 Head.L –4.231 2.810 –1.51 0.134 Head.W –0.510 2.891 –0.18 0.860 Neck.G 7.056 1.460 4.83 0.000 Length 0.8069 0.6312 1.28 0.203 Chest.G 8.9758 0.8655 10.37 0.000 What are the degrees of freedom for the model? 137 5 6

Explanation / Answer

Degrees of freedom for the model = Number of predictors = 5

Hence,

Option b is correct.

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