(1-3) There is a research of gender difference in average daily earnings. ADE = 135 + 28. Dmale R2-0.15, SER -3.5 (6.35) (0.6) 1-1,.. n=500 ADE: Average daily earnings of individuali in dollars. Dmale: Dummy variable. D-1 when individual "1" Is male and O when female. 1. Interpret the result carefully. (should include constant, slope coefficient, R.) 2. If the male sample size is bigger than female sample size by 20, what is the standard error of average daily earnings for male? 3. Create a 95% Confidence interval for Average daily earnings for male. Can you reject the null hypothesis of there is no wage difference between the genders? (1-3) There is a research of gender difference in average daily earnings. ADE = 135 + 28. Dmale R2-0.15, SER -3.5 (6.35) (0.6) 1-1,.. n=500 ADE: Average daily earnings of individuali in dollars. Dmale: Dummy variable. D-1 when individual "1" Is male and O when female. 1. Interpret the result carefully. (should include constant, slope coefficient, R.) 2. If the male sample size is bigger than female sample size by 20, what is the standard error of average daily earnings for male? 3. Create a 95% Confidence interval for Average daily earnings for male. Can you reject the null hypothesis of there is no wage difference between the genders