=+32. Dirt bikes, part 2. The model in Exercise 30 is missing one predictor that we might

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=+32. Dirt bikes, part 2. The model in Exercise 30 is missing one predictor that we might have expected to see. Engine Displacement is highly correlated 1r = 0.7832 with MSRP, but that variable has not entered the model (and, indeed, would have a P-value of 0.54 if it were added to the model). Here is some evidence to explain why that may be. (Hint: Notice that Displacement is the response variable in this regression.)

Dependent variable is: Displacement R-squared = 95.9% R-squared (adjusted) = 95.7%

s = 35.54 with 100 - 6 = 94 degrees of freedom Variable Coeff SE(Coeff) t-ratio P-value Intercept -8.05901 48.42 -0.166 0.8682 Bore 9.10890 0.3601 25.3 60.0001 Clearance 3.55912 3.048 1.17 0.2460 Engine Stroke -27.3943 5.264 -5.20 60.0001 Total Weight 1.03749 0.1768 5.87 60.0001 Wheelbase -10.0612 2.008 -5.01 60.0001

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Business Statistics Plus Pearson Mylab Statistics With Pearson Etext

ISBN: 978-1292243726

3rd Edition

Authors: Norean R Sharpe ,Richard D De Veaux ,Paul Velleman

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