Question 2 1 pts Load the Tutorial 3 dataset tute3_cps.csv in R and consider the following regression: . Regression 3: o dependent variable: ahe o independent variables: female, bachelor, age Run this regression twice, where in the first regression compute standard errors that assume homoskedasticity, and in the second regression compute standard errors that assume heteroskedasticity. What are the standard errors for the coefficient on 'bachelor' in the respective regressions? O Homoskedasticity: 0.148, Heteroskedasticity: 0.152 O Homoskedasticity: 0.148, Heteroskedasticity: 0.145 O Homoskedasticity: 0.152, Heteroskedasticity: 0.772 O Homoskedasticity: 0.145, Heteroskedasticity: 0.781Question 1 1 pts Load the Tutorial 3 dataset tute3_cps.csv in R. Run the following two regressions: 0 Regression 1: 0 dependent variable: ahe 0 independent variable: female . Regression 2: 0 dependent variable: ahe 0 independent variables: female, bachelor Compare the regression coefcient estimate on 'female' in Regressions 1 and 2, which we expect to have a negative sign in these historical data due to the gender wage gap. Which of the following characterises the nature of omitted variable bias from not controlling for the 'bachelor' variable in Regression 1? O Biased downward and too small in magnitude. 0 Biased downward and too large in magnitude. 0 Biased upward and too small in magnitude. 0 Biased upward and too large in magnitude