(b) Bob's high school was 20 miles from the nearest college. Predict Bob's year of schooling using the estimated regress

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answerhappygod
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(b) Bob's high school was 20 miles from the nearest college. Predict Bob's year of schooling using the estimated regress

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B Bob S High School Was 20 Miles From The Nearest College Predict Bob S Year Of Schooling Using The Estimated Regress 1
B Bob S High School Was 20 Miles From The Nearest College Predict Bob S Year Of Schooling Using The Estimated Regress 1 (48.11 KiB) Viewed 13 times
B Bob S High School Was 20 Miles From The Nearest College Predict Bob S Year Of Schooling Using The Estimated Regress 2
B Bob S High School Was 20 Miles From The Nearest College Predict Bob S Year Of Schooling Using The Estimated Regress 2 (13.32 KiB) Viewed 13 times
Econmetrics using STATA program.
The STATA data on the second picutre is regression result
in (a)
please answer question B,C,D using this data.
(b) Bob's high school was 20 miles from the nearest college. Predict Bob's year of schooling using the estimated regression in (a). How would the predict change if Bob lived 10 miles from the nearest college? (c) Does the distance to college explain a large fraction of the variance in the year of schooling? Which measurement are you looking at? (d) An education advocacy group argues that on average, a person's year of schooling will increase by 0.075 year if the distance to the nearest college is decreased by 10 miles. Is the advocacy group's claim consistent with the regression result in (a)?
. reg yrsed dist Source Model Residual Total yrsed dist cons SS 93.0256754 12394.3568 12487.3825 -.0733727 13.95586 df MS 93.0256754 3.266831 3.29048287 t P> |t| .0137498 -5.34 0.000 .0377241 369.95 0.000 1 794 3,795 Coef. Std. Err. 3₁¹ Number of obs F (1, 3794) Prob > F R-squared Adj R-squared Root MSE 3,796 28.48 0.0000 0.0074 0.0072 = 1.8074 [95% Conf. Interval] -.1003304 -.046415 13.88189 14.02982 || ||
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