from the given regression analysis information following interpretation can be made as per your querry.
here p-value=0.012 of the variable male is less than typical level of significance alpha=0.05, so male is significant variable to model the response variable sleep.
Carry out a test for equality of the parameters in the sleep equation for men and women using both the following approa...
Test each of the following sets of Goint) hypotheses: (b) A-0.15, A-10, A-A, β-0 In both cases, carry out the appropriate test from first principles (see (iv) above) and check your result using Stata's test command. Interpret your results. . reg sleep totwrk educ age agesq male spwrk75 gdhlth 706 Source I df Number of obs MS E7, 698) 7 2482705. 79 Prob >F 14.22 17378940.6 Model 0.0000 Residual 121860895 698 174585.81 R-squared Adi R-squared 0.1248 0.1160 + = Total...
(x Carry out a Breusch-Pagan LM test for heteroskedasticity for the model: β8male + 11 Briefly explain how the test works and the implications ofyou「result. [Hint: see rea uhatsa totwrk educ age agesa spwrk75 gdhlth ynakid male 706 1.62 SourceI df Number of obs MS 8 , 697 ) 8 2.0691e+11 Prob >F Model 1.6553e+12 0.1163 8.9178e+13 0.0182 Residual 697 1.2794e+11 R-squared Adj R-squared 0.0070 + = Total 0833e+13 705 1.2884e+11 Root MSE 3.6e+05 Coef. uhatsaI Std. Err. [95% Conf....
This question refers to the question 1 in Exam 1 e sleep and totwork (total work) is measured in minutes per week and educ and age aremeasured in years, male is a dummy variable (male- 1 if the individual is male, and o if female) This is the STATA output of the model: 706 19.59 0.0000 0.1228 Adj R-squared0.1165 df MS Number of obs Model Residual 17092058.5 122147777 F (5, 700) 5 3418411.71 Prob>F 700 174496.825 R-squared Total 139239836 705...
Question 1
First run the regression:
EARNINGSi = β1 + β2ASVABCi + β3Si + ui
Then run the regression with experience:
EARNINGSi = β1 + β2ASVABCi + β3Si + β4EXPi + ui
Compare the results from these two regressions, do you get an
indication that the previous estimate of schooling without EXP was
biased? If so, in which direction? And why is that?
Question 2
Add gender dummy variable to the regression (the one running
regression of EARNINGS on ASVABC,...