Can you please help with this economics question

Suppose that a researcher, using wage data on 268 randomly selected male workers and 300 female workers, estimates the OLS regression Wage = 13.396 + 2.268 x Male, R = 0.04, SER = 4.5, 0.2461) (0.3852) 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. What is the estimated gender gap? The estimated gender gap equals $ per hour. (Round your response to three decimal places.) The null and alternative hypotheses are Ho: B1 = 0 versus H1 : B, # 0. The t-statistic for testing the null hypothesis that there is no gender gap is (Round your response to two decimal places.) The p-value for testing the null hypothesis that there is no gender gap is (Round your response to four decimal places.) The estimated effect of gender gap is statistically significant at the: 1. 5% level 11. 1% level III. 0.01% level O A. III only. O B. I and II. O C. I only. O D. I, II, and Ill. Construct a 95% confidence interval for the effect of gender gap. The 95% confidence interval for the effect of aender aan is ( ). (Round vour responses to two decimal places.)