QUESTION 1

1. In a regression equation, you estimated GPA = 3.0 + 0.5 Gender, in which Gender is a dummy variable defined as (=1 male ; =0 female). Based on this regression, for a male student, how would you predict his GPA?
2. None of the above
3. 3.5
4. 3.0
5. 2.5

QUESTION 2

1. (More advanced) In a regression equation, you estimated GPA = + Gender, in which Gender is a dummy variable defined as (=1 male ; =0 female). Based on this regression and we know that is a positive number, how can you interpret ?
2. On average, male students' GPA is greater than female students by .
3. On average, we only know that the difference between male and female students' GPA is , but we don't know which one is greater.
4. On average, male students' GPA is lower than female students by .
5. On average, male students' GPA is .

QUESTION 3

1. In a regression equation, you estimated Y=+ ₁X₁+ ₂X₂. How do you interpret ₂?
2. Controlling for other variables in the equation,ifX₂changes by1,Y changes by₂
3. IfX₂changes by1,Y changes by₂
4. Controlling for other variables in the equation,X₂changes by₁,Y changes by₂
5. Controlling for other variables in the equation,eitherX₁orX₂changes by1,Y changes by₂

QUESTION 4

1. (Stata question)In Stata, what is the command to estimate the regression equation: y = + x ?
2. regress y x
3. regress y=x
4. regress y, x
5. none of the above

2 points

QUESTION 5

1. In multiple regression, which coefficient do you use to measure the goodness of fit?
2. P-value for regression coefficients
3. Regression coefficients
4. R-squared
5. Adjusted R-squared