Question 4 We will look at the possible effects of gender of an individual on educationol attainment. In the dataset is S years of schooling, ASVABC is composite score on the cognitive tests, SM is y...
Question 4 We will look at the possible effects of gender of an individual on educationol attainment. In the dataset is S years of schooling, ASVABC is composite score on the cognitive tests, SM is years of schooling of the respondent's mother, SF is years of schooling of the respondent's father, MALE is a dummy variable equal to 1 if the respondent was a male Some of the regression output has been deliberately hidden. Source I df MS Number of obs E 4, 495) 68.81 0.0000 -0.3573 Adj R-squared0.3521 2.228 4 341.55631 Residual2457.20676 495 4.96405406 Modell 1366 . 22524 ProbF R-squared Total 3823.432 499 7.66218838 Root MSE Coef 1.20327 1121408 Std. Err (95% Conf. Interval ] 1134408 SMI ,1745339 ,0475472 0412465 10.61 0.000 3.67 0.000 2.72 0.007 9803849 031101 9.7327 1.426155 1931807 MALE 8637231 .2016953 -4.28 0.000 -1.260007 -.4674387 12.06958 cons 10.90114 5946959 18.33 0.000 a. What is the sample size? (3 marks) Find the 95% confidence interval for the years of schooling of the respondent's mother b. (3 marks) Is there any evidence that the educational attainment of males is different from that of females? c. 4 marks) (Total 10 marks)
Question 4 We will look at the possible effects of gender of an individual on educationol attainment. In the dataset is S years of schooling, ASVABC is composite score on the cognitive tests, SM is years of schooling of the respondent's mother, SF is years of schooling of the respondent's father, MALE is a dummy variable equal to 1 if the respondent was a male Some of the regression output has been deliberately hidden. Source I df MS Number of obs E 4, 495) 68.81 0.0000 -0.3573 Adj R-squared0.3521 2.228 4 341.55631 Residual2457.20676 495 4.96405406 Modell 1366 . 22524 ProbF R-squared Total 3823.432 499 7.66218838 Root MSE Coef 1.20327 1121408 Std. Err (95% Conf. Interval ] 1134408 SMI ,1745339 ,0475472 0412465 10.61 0.000 3.67 0.000 2.72 0.007 9803849 031101 9.7327 1.426155 1931807 MALE 8637231 .2016953 -4.28 0.000 -1.260007 -.4674387 12.06958 cons 10.90114 5946959 18.33 0.000 a. What is the sample size? (3 marks) Find the 95% confidence interval for the years of schooling of the respondent's mother b. (3 marks) Is there any evidence that the educational attainment of males is different from that of females? c. 4 marks) (Total 10 marks)