Economics homework help.
- Open the TeachingsRatings data in RStudio.
- Read the Description of the data uploaded on Canvas.
- Provide a summary of variables: Course-eval, Beauty, female, age, minority, intro, and onecredit (what they are, what their unit is, what their mean is?)
- Run a single regression of Course-eval over Beauty.
- What is the model?
- What is the predicted equation?
- Is the coefficient of “beauty” significant? Why?
- Run a multiple regression of Course-eval over Beauty, female, age, minority, intro, and onecredit. (the 6 variables must be included in 1 regression and not separately).
- What is the population equation?
- What is the predicted equation?
- What is the effect of beauty on Course-eval in the multiple regression.
- In the multiple regression, which one of the regressors (coefficients) are statistically significant? Why?
- What is the new R2 and what does it mean?
- In the multiple regression, provide a test of the significance of course characteristics on the course evaluations.
(hint: if you keep the order of the variables I wrote in part. 8 the same, the null of this test would H0: B5=B6=0, meaning in your MLRM you should check the significance of intro and onecredit at the same time. You should run a F-Test. Once with these variables and once without them and create your restricted and unrestricted models)
- What is the pvalue associated with the “overall ftest” of the regression part 8? What does it mean?
VERY IMPORTANT: You should calculate and provide the FSTAT on PAPER (even if you use RStudio to get the fstat, you should confirm it again. I want you to do it once to learn it)
