The analyst from Exercise 11, worried about collinearity, regresses Age against Past Spending, Income, and Networth. The

Question:

The analyst from Exercise 11, worried about collinearity, regresses Age against Past Spending, Income, and Networth.

The output shows:

Response Variable: Age R2 = 98.75% Adjusted R2 = 98.74%

s = 2.112 with 908 - 4 = 904 degrees of freedom Variable Coeff SE(Coeff) t-ratio P-value

(Intercept) 2.000e + 01 1.490e - 01 134.234 60.0001 Past Spending 3.339e - 04 1.828e - 04 1.826 0.0681 Income 3.811e - 04 7.610e - 06 50.079 60.0001 Networth 2.420e - 05 1.455e - 06 16.628 60.0001 What is the VIF for Age?

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Business Statistics

ISBN: 9781292269313

4th Global Edition

Authors: Norean Sharpe, Richard De Veaux, Paul Velleman

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Question Posted: Sep 07, 2024 09:00 AM

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The analyst from Exercise 11, worried about collinearity, regresses Age against Past Spending, Income, and Networth. The

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Business Statistics

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