Question
With a regression equation and following data points: ADE = -15 + 2.4 * Age R squared = 0.02 SER = 3.5 ADE: Average daily
With a regression equation and following data points:
ADE = -15 + 2.4 * Age
R squared = 0.02
SER = 3.5
ADE: Average daily earnings of individual i in dollars.
Question: It turns out that the OLS residual of the regression model has non-zero correlation-coefficient with the existing regressor of age and there is a bias in the slope. What are 2 potential variables that could satisfy the condition of the omitted variable? Please explain (use your imagination)
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Wavelet Based Approximation Schemes For Singular Integral Equations
Authors: Madan Mohan Panja, Birendra Nath Mandal
1st Edition
0429534280, 9780429534287
