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please show all work and graphs

SUMMARY OUTPUT Regression Statistics 0.989894408 Multiple R R Square 0.97989094 0.946375839 Adjusted R Square Standard Error
points) Consider the regression above. It we wanted to test the null hypothesis that gender has no effect on log earnings, ho
SUMMARY OUTPUT Regression Statistics 0.989894408 Multiple R R Square 0.97989094 0.946375839 Adjusted R Square Standard Error 0.093997207 Observations ANOVA F Significance F MS 5 1.291627011 0.258325402 29.23729686 0.009507436 Regression Residual Total 3 0.026506425 0.008835475 8 1.318133436 Coefficients Standard Error Stat 2.000000 1.000000 1.000000 0.199040522 12.23566447 0.001175553 1.801957267 3.068828814 0.116964675 7.144529794 0.005645963 0.46342381 1.207891408 0.221410557 -4.794091072 0.017265888 -1.766089586 -0.356835166 0.115122597 -2.041317871 0.133876794 -0.601373298 0.131369669 0.500000 0.130770483 -4.049701664 0.027116334 0.945751481 -0.113411402 Intercept GPA Fin Major Gender 0.250000 NYC MajorXGender0.5000000 0.139726695 3.432145865 0.041472992 0.034889694 0.924235104 ."Gender"ie -.. :'
points) Consider the regression above. It we wanted to test the null hypothesis that gender has no effect on log earnings, how would write this ioint null hypothesis. Write the restricted and the unrestricted equations b. Using symbols, write the homoskedasticity-only formula for the test statistic. c. How many degrees of freedom (restrictions) are involved? tatistic comes out to be less than the critical value, do we reject or fail to reject the joint null hypothesis?
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please show all work and graphs SUMMARY OUTPUT Regression Statistics 0.989894408 Multiple R R Square 0.97989094 0.946375839 Adjusted R Square Standard Error 0.093997207 Observations ANOVA F Sign...
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