onometrics 2:07:59 Le B After running the regression, the estimated equation is as follows. The standard errors are presented in brackets. wage = 0.02 + 0.15 . expet 0.24 . gender, (0.40) (0.10) (0.08) SSE = 1.024, where wage stands for the estimated wage, and SSE stands for the sum of squares of errors. (a). Implement a test to examine if the hourly wage of men is the same as the hourly wage of women. (6 points) (b). Implement a test to examine the joint significance of the coefficients of expean gender. (6 points) The following information might be useful