Question

Suppose a researcher, using wage data on 250 randomly selected male workers and 280 female workers, estimates the following OLS regression: Wage^ = 12.52 + 2.12 × Male, R^2 = 0.06, SER = 4.2, (0.23) (0.36) where Wage is measured in dollars per hour and Male is a binary variable that is equal to 1 if the person is male and 0 if the person is female. Another researcher uses the same data but regresses Wage on Female, a binary variable that is equal to 1 if the person is female and 0 if the person is male. What are the regression estimates calculated from the regression? Group of answer choices Wage^ = 14.64 - 2.12 × Female, R^2 = 0.06, SER = 4.2 Wage^ = 14.64 + 2.12 × Female, R^2 = 0.06, SER = 4.2 Wage^ = 12.52 - 2.12 × Female, R^2 = 0.06, SER = 4.2

          Suppose a researcher, using wage data on 250 randomly selected male workers and 280 female workers, estimates the following OLS regression:
Wage^ = 12.52 + 2.12 × Male, R^2 = 0.06, SER = 4.2,
(0.23) (0.36)
where Wage is measured in dollars per hour and Male is a binary variable that is equal to 1 if the person is male and 0 if the person is female. Another researcher uses the same data but regresses Wage on Female, a binary variable that is equal to 1 if the person is female and 0 if the person is male. What are the regression estimates calculated from the regression?

Group of answer choices
Wage^ = 14.64 - 2.12 × Female, R^2 = 0.06, SER = 4.2
Wage^ = 14.64 + 2.12 × Female, R^2 = 0.06, SER = 4.2
Wage^ = 12.52 - 2.12 × Female, R^2 = 0.06, SER = 4.2

Added by Beverly M.

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