Answer Happy

Task 12: We have the following regression output: Residuals: Min 10 Median 30 Max -2.19865 -0.23557 -0.01153 0.24248 1.99220 Coefficients: Estimate std. Error t value Pr>t exp 0.0101637 0.0005381 18.889 < 2e-16 *** wks 0.0050353 0.0011130 4.524 6.23e-06 *** bluecolno 5.0504753 0.0694183 72.754 < 2e-16 *** bluecolyes 4.8965322 0.0657457 74.477 <2e-16 *** ind 0.0561313 0.0121370 4.625 3.86e-06 *** southyes -0.0651251 0.0128055 -5.086 3.82e-07 *** smsayes 0.1337180 0.0123276 10.847 < 2e-16 *** marriedyes 0.0815229 0.0210522 3.872 0.000109 sexmale 0.3665575 0.0257773 14.220 < 2e-16 unionyes 0.0977764 0.0131586 7.431 1. 312-13 *** ed 0.0583156 0.0026876 21. 698 < 2e-16 *** Signif. codes: 05**' 0.001' 0.01 0.05'' 0.1''1 Residual standard error: 0.36 on 4154 degrees of freedom Multiple R-squared: 0.9971, Adjusted R-squared: 0.9971 F-statistic: 1.305e+05 on 11 and 4154 DF, p-value: < 2.2e-16 a) How large is the standard error of the model? (0.1) b) How many variable are there? (0.1) c) Are there any statistically insignificant coefficients? (0.1) d) How much is the coefficient in front of ed? (0.1) e) How big is the maximum error from the model? (0.1)