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QUESTION 1 In a regression equation, you estimated GPA = 3.0 + 0.5 Gender, in which Gender is a dummy variable defined as (=1 male
QUESTION 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?
- None of the above
- 3.5
- 3.0
- 2.5
QUESTION 2
- (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 ?
- On average, male students' GPA is greater than female students by .
- On average, we only know that the difference between male and female students' GPA is , but we don't know which one is greater.
- On average, male students' GPA is lower than female students by .
- On average, male students' GPA is .
QUESTION 3
- In a regression equation, you estimated Y=+ 1X1+ 2X2. How do you interpret 2?
- Controlling for other variables in the equation,ifX2changes by1,Y changes by2
- IfX2changes by1,Y changes by2
- Controlling for other variables in the equation,X2changes by1,Y changes by2
- Controlling for other variables in the equation,eitherX1orX2changes by1,Y changes by2
QUESTION 4
- (Stata question)In Stata, what is the command to estimate the regression equation: y = + x ?
- regress y x
- regress y=x
- regress y, x
- none of the above
2 points
QUESTION 5
- In multiple regression, which coefficient do you use to measure the goodness of fit?
- P-value for regression coefficients
- Regression coefficients
- R-squared
- Adjusted R-squared
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