34) Two models were proposed for a simple regression of tree height on bark thickness, Model A: Height’ = 7.8*Bark + 37 and Model B: Height’ = 8*Bark + 35. Using the information and calculations below, which model is best? Model A: Height’ = 7.8*Bark + 37 Tree ID Height (feet) Bark Thickness (millimeters) Predicted Height Error Squared Error 1 150 15 2 175 18 177.4 -2.4 5.76 3 225 21 200.8 24.2 585.64 4 200 23 216.4 -16.4 268.96 Model 8: Height’ = 8*Bark + 35 Tree ID Height (feet) Bark Thickness (millimeters) Predicted Height Error Squared Error 1 150 15 155 -5 25 2 175 18 179 -4 16 3 225 21 203 22 484 4 200 23
A. Model A
B. Model B
C. The models are identical.
D. It is impossible to determine the best model.
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