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Consider the following regression estimates Source SS df Model 44.5315181 Residual 103.798233 Total 148.329751 MS 2 22.2657591 523 . 198466985 525 .28253286 Number of obs F(2, 523) Prob > F R-squared Adj R-squared Root MSE = = = II = II = 526 112.19 0.0000 0.3002 0.2975 .4455

Consider the following regression estimates Source SS df Model 44.5315181 Residual 103.798233 Total 148.329751 MS 2 22.2657591 523 . 198466985 525 .28253286 Number of obs F(2, 523) Prob > F R-squared Adj R-squared Root MSE = = = II = II = 526 112.19 0.0000 0.3002 0.2975 .4455

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Can you please answer 7 & 8

Consider the following regression estimates Source SS df 526 112.19 Model 44.5315181 2 0.0000 Residual 103.798233 523 0.3002 0.2975 Total 148.329751 525 .4455 lwage Coef. Std. Err. t P>|t| [95% Conf. Interval] .0633591 .0910475 educ female _cons .0772033 .0070472 -.3608654 .0390245 .8262694 .0940541 10.96 0.000 -9.25 0.000 8.79 0.000 -.4375294 -.2842015 .6414991 1.01104 where Iwage 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 0 otherwise. 7. The predicted hourly wage in US$ for a woman with 10 years of education is 8. The F-statistic of the F-test for the overall significance of the regression is MS 22.2657591 . 198466985 .28253286 Number of obs F(2, 523) Prob > F R-squared Adj R-squared Root MSE || || || || || || =
Transcribed Image Text:Consider the following regression estimates Source SS df 526 112.19 Model 44.5315181 2 0.0000 Residual 103.798233 523 0.3002 0.2975 Total 148.329751 525 .4455 lwage Coef. Std. Err. t P>|t| [95% Conf. Interval] .0633591 .0910475 educ female _cons .0772033 .0070472 -.3608654 .0390245 .8262694 .0940541 10.96 0.000 -9.25 0.000 8.79 0.000 -.4375294 -.2842015 .6414991 1.01104 where Iwage 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 0 otherwise. 7. The predicted hourly wage in US$ for a woman with 10 years of education is 8. The F-statistic of the F-test for the overall significance of the regression is MS 22.2657591 . 198466985 .28253286 Number of obs F(2, 523) Prob > F R-squared Adj R-squared Root MSE || || || || || || =
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