Results of Regressions of Average Hourly Earnings on Sex and Education Binary Variables and Other Characteristics Using 2015 Data from the Current Population Survey Dependent variable: average hourly earnings (AHE). Regressor (1) (2) (3) College (X) 10.47 (0.29) 10.44 (0.29) 1042 (0.29) Female (X) -4.9 (0.29) -4.56 (1.29) -4.57 (0.29) Age (X) 0.61 (0.06) 161 (0.05) 074 (0.47) Northeast (N) Midwest (X) -154 (0.40) South (X) 0.44 (0.37) 0.33 (1.47) Intercept 18.15 (0.19) 0.11 (1.46) Summary Statistics and Joint Tests Fstatistic testing regional effects 0 9.32 SER 12.15 12.03 12.01 R 0.185 7178 717N Use the regression results in column (3): Juanita is a 28-ycar-old female college graduate from the South. Molly is a 28-year-old female college graduate from the West. Construct a 95% confidence interval for the difference in expected earnings between Juanita and Molly. O 1-4.33, 4.33 O 11.41, 2.83] O 19.90, 11.04 O -1.17, 0.291
Results of Regressions of Average Hourly Earnings on Sex and Education Binary Variables and Other Characteristics Using 2015 Data from the Current Population Survey Dependent variable: average hourly earnings (AHE). Regressor (1) (2) (3) College (X) 10.47 (0.29) 10.44 (0.29) 1042 (0.29) Female (X) -4.9 (0.29) -4.56 (1.29) -4.57 (0.29) Age (X) 0.61 (0.06) 161 (0.05) 074 (0.47) Northeast (N) Midwest (X) -154 (0.40) South (X) 0.44 (0.37) 0.33 (1.47) Intercept 18.15 (0.19) 0.11 (1.46) Summary Statistics and Joint Tests Fstatistic testing regional effects 0 9.32 SER 12.15 12.03 12.01 R 0.185 7178 717N Use the regression results in column (3): Juanita is a 28-ycar-old female college graduate from the South. Molly is a 28-year-old female college graduate from the West. Construct a 95% confidence interval for the difference in expected earnings between Juanita and Molly. O 1-4.33, 4.33 O 11.41, 2.83] O 19.90, 11.04 O -1.17, 0.291
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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