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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