Suppose that a researcher, using wage data on 235 randomly selected male workers and 263 female workers, estimates the OLS regression m = 11.769 +1993 x Male, R2 = 0.04, SER= 3.9, (0.2162) (0.3384) The pvalue for testing the null hypothesis that there is no gender gap is D. (Round your response to four decimal places.) The estimated effect of gender gap is statistically significant at the: 1. 5% level I1. 1% level Ill. 0.01% level O A. I and II. O B. I only. O C. III only. O D. I, II, and III. Construct a 95% confidence interval for the gender gap. The 95% confidence interval for the effect of Small Class on test score is (. ). (Round your responses to two decimal places.) From the sample, the average wage of women is $ per hour. (Round your response to three decimal places.) From the sample, the average wage of men is $ per hour. (Round your response to three decimal places.) 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 = Yo + 71 xFemale, R2, SER. Yo = (Round your response to three decimal places.) 71 = (Round your response to three decimal places.)