3.1 The output is the result of fitting an educational attainment function, regressing S on ASVABC,...

 

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3.1 The output is the result of fitting an educational attainment function, regressing S on ASVABC, a measure of cognitive ability, SM, and SF, years of schooling (highest grade completed) of the respondent's mother and father, respectively, using EAWE Data Set 21. Give an interpretation of the regression coefficients. .reg S ASVABC SM SF 3.2 Source I Model I 1235.0519 3 411.683966 Residual I 2518.9701 496 5.07856875 3754.022 499 7.52309018 Total I SI ASVABC | SM | SE I cons | SS Coef. 1.242527 .091353 .2028911 10.59674 df Std. Err. .123587 .0459299 0425117 .6142778 . MS t P>|t| 10.05 0.000 1.99 0.047 4.77 0.000 17.25 0.000 Number of obs= F( 3, 496) - Prob > F = R-squared Adj R-squared- Root MSE 500 81.06 0.0000 0.3290 0.3249 2.2536 [95% Conf. Interval]. 999708 .0011119 .1193658 9.389834 1.485345 .1815941 .2864163 11.80365 Fit an educational attainment function parallel to that in Exercise 3.1, using your EAWE data set. Regress S on ASVABC, SM, and SF and interpret the regression results. There is a saying that if you educate a male, you educate an individual, while if you educate a female, you educate a nation. The premise is that the education of a future mother has a beneficial knock-on effect on the educational attainment of her children. Do your regression results support this view? 3.1 The output is the result of fitting an educational attainment function, regressing S on ASVABC, a measure of cognitive ability, SM, and SF, years of schooling (highest grade completed) of the respondent's mother and father, respectively, using EAWE Data Set 21. Give an interpretation of the regression coefficients. .reg S ASVABC SM SF 3.2 Source I Model I 1235.0519 3 411.683966 Residual I 2518.9701 496 5.07856875 3754.022 499 7.52309018 Total I SI ASVABC | SM | SE I cons | SS Coef. 1.242527 .091353 .2028911 10.59674 df Std. Err. .123587 .0459299 0425117 .6142778 . MS t P>|t| 10.05 0.000 1.99 0.047 4.77 0.000 17.25 0.000 Number of obs= F( 3, 496) - Prob > F = R-squared Adj R-squared- Root MSE 500 81.06 0.0000 0.3290 0.3249 2.2536 [95% Conf. Interval]. 999708 .0011119 .1193658 9.389834 1.485345 .1815941 .2864163 11.80365 Fit an educational attainment function parallel to that in Exercise 3.1, using your EAWE data set. Regress S on ASVABC, SM, and SF and interpret the regression results. There is a saying that if you educate a male, you educate an individual, while if you educate a female, you educate a nation. The premise is that the education of a future mother has a beneficial knock-on effect on the educational attainment of her children. Do your regression results support this view?

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Solution 31 The regression coeefficient indicates the effect of a unit change in independent variabl... View the full answer