I need help with this two questions, thanks.

5.1 Suppose a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, estimates the OLS regression TestScore = 520.4 - 5.82 x CS, R2 = 0.08, SER = 11.5. (20.4) (2.21) a. Construct a 95% confidence interval for 1, the regression slope coefficient. b. Calculate the p-value for the two-sided test of the null hypothesis Ho : B1 = 0. Do you reject the null hypothesis at the 5% level? At the 1% level? c. Calculate the p-value for the two-sided test of the null hypothesis Ho : 1 = -5.6. Without doing any additional calculations, determine whether -5.6 is contained in the 95% confidence interval for B1. d. Construct a 99% confidence interval for Bo-5.2 Suppose a researcher, using wage data on 250 randomly selected male workers and 280 female workers, estimates the OLS regression Wage = 12.52 + 2.12 x Male, R2 = 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 a male and 0 if the person is a female. Define the wage gender gap as the difference in mean earnings between men and women. a. What is the estimated gender gap? b. Is the estimated gender gap significantly different from 0? (Compute the p-value for testing the null hypothesis that there is no gender gap.) c. Construct a 95% confidence interval for the gender gap. d. In the sample, what is the mean wage of women? Of men? e. Another researcher uses these same data but regresses Wages on Female, a variable that is equal to 1 if the person is female and 0 if the person a male. What are the regression estimates calculated from this regression? Wage = + X Female, R = , SER =