Question: Consider the following regression estimates Source SS df MS - 2 = Model Residual 44.5315181 183.798233 22.2657591 .198466985 Nuniber of obs F(2, 523) Prob >

Consider the following regression estimates Source SS df MS - 2 = Model Residual 44.5315181 183.798233 22.2657591 .198466985 Nuniber of obs F(2, 523) Prob > F R-squared Adj R squared Root MSE 526 112.19 0.000 0.3082 0.2975 523 = Total 148.329751 525 28253286 .4455 lwage Cael. SIL. Far P> 111 1955 Con. Intervall 0.000 educ tenale _cons .0772033 -.3608654 .8262694 .6070472 .639 0245 .6940541 19.96 -9.25 8.79 8.900 8.350 0633591 -.4375294 6414991 0910475 -.2842015 1.01194 where lwage is the log of hourly wage, educ is years of education and female is a dummy variable which is equal to 1 if the person is female and otherwise. 7. The predicted hourly wage in USS for a woman with 10 years of education is [2 marks] 8. The F-statistic of the F-test for the overall significance of the regression is [1 mark] Consider the following regression estimates Source SS df MS - 2 = Model Residual 44.5315181 183.798233 22.2657591 .198466985 Nuniber of obs F(2, 523) Prob > F R-squared Adj R squared Root MSE 526 112.19 0.000 0.3082 0.2975 523 = Total 148.329751 525 28253286 .4455 lwage Cael. SIL. Far P> 111 1955 Con. Intervall 0.000 educ tenale _cons .0772033 -.3608654 .8262694 .6070472 .639 0245 .6940541 19.96 -9.25 8.79 8.900 8.350 0633591 -.4375294 6414991 0910475 -.2842015 1.01194 where lwage is the log of hourly wage, educ is years of education and female is a dummy variable which is equal to 1 if the person is female and otherwise. 7. The predicted hourly wage in USS for a woman with 10 years of education is [2 marks] 8. The F-statistic of the F-test for the overall significance of the regression is [1 mark]
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