Question: 2 Dependent Variable Y Method Least Squares Date 012521 Time 22:42 Sample 1970 2012 Included observations.43 Marks (4+4+4+4+4) Vanable Coefficient C x1 31858141 0.078342 0.006438 Std Emor 1-Statistic Prob 0092602 3440345 00000 0010205 7676722 00000 0.009851 0653533 Sample 1970 2012 Ovation 2830-18 0.000373 051721 0001217 0.013833 0.004388 3152346 0.0031 S 30304 R-squared Adjusted R-squared SE of regression Sum squared resid Logood F-statistic ProbF-statssc 0682560 Mean dependent var 0858142 SD dependent var 3835015 2 0.054816 0.032050 Akaike info crtenon 0.040061 Schwarterion 3.954624 -3790782 89 02442 Hannan-Quinn cnter 2795258 Durbin-Watson stat 0000000 3.804208 0580333 (i) (ii) Interpret the coefficient x1 x2 and x3, whether the variables are statistically significant or not. Write down the regression equation for the above results (iii) Check whether the residuals are normally distributed or not, also mention the null and alternative hypothesis. (iv) From the above results clearly specify the difference between R-Square and F- Statistics. Dependent Variable: WAGE Method Least Squares Date: 01/25/21 Time 23:00 Sample: 1 1289 Included observations: 1289 Dependent vanaand WAGE Method Least Squares Date: 01/25/21 Time: 23:00 Sample: 11209 included observations: 1289 Vanable Coefficient Std Error Variable Coefficient 1-Statistic Prob c EDUCATION EXPER -9.586082 1.414521 0178712 1,009768 -9.493349 0.0000 0.067701 20.89378 0.0000 0.016334 10.94127 0.0000 EDUCATION EXPER MALE -9015965 Std Error 1-Statistic Prob 1.022686 -8815964 0.0000 1.394209 0.067782 20.56912 0.0000 0175858 -1.632433 0.016304 0.521580 10.78638 -3129783 0.0000 0.0018 F-statistic R-squared Adjusted R-squared SE of regression Sum squared resid Log likelihood Prob F-statistic) 6.724914 Akaike info criterion -4284 111 Dependent Variable WAGE Method Least Squares Hannan-Quinn criter 244.9023 Durbin-Watson stat 0.000000 Date: 01/25/21 Time 23:03 Sample 11289 Included observations: 1289 0.275821 Mean dependent var 0.274695 SD dependent var 58158.67 Schwarz criterion 12.36585 R-squared 7.896350 Adjusted R-squared 6.651840 SE of regression 6.663853 Sum squared resid 6.656349 Log kelihood 1.911619 0281300 Mean dependent var 0279622 SD dependent var 6.702034 Akaike into criterion 12.36585 7.896350 6645798 57718.68 4279 217 Schwarz criterion Hannan-Quinn ter 6661815 6651810 F-statistic Prob(F-statistic) 167 6500 0.000000 Durbin-Watson stat 1.899957 (A) Given the results above define and interpret the dummy variables. Variable Coefficient EDUCATION EXPER FEMALE R-squared Adjusted R-squared SE of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) 0.364427 Std Error -7.653033 1.005982 -7.607522 0.0000 1393727 0.065841 21.16813 0.0000 0.174712 0.015881 11.00115 00000 -3.186426 8.743651 0.0000 1-Statistic Prob 0.316487 Mean dependent var 0.314891 SD. dependent var 6.535912 Akaike info criterion 12.36585 7.896350 6.595599 5489281 Schwarz criterion 6.611617 4248.864 Hannan-Quinn criter 6.601611 198 3312 Durbin-Watson stat 0.000000 1.902039