Multiple Choice
When should a researcher consider transforming the explanatory variable in the simple linear regression model?
A) to estimate a coefficient on the dependent variable that matches economic theory
B) to allow non-constant marginal effects
C) to reduce variance in the dependent variable
D) to reduce 
(Note: the "hat" should be over the whole expression,but I can't accomplish that in my software right now)
Correct Answer:
Verified
Correct Answer:
Verified
Q3: When the residuals from a simple regression
Q4: You have estimated a model of two
Q5: If a scatter plot of the data
Q6: A measure of the symmetry of a
Q7: You have estimated the following simple regression
Q9: You have estimated a regression model and
Q10: What about the distribution of a random
Q11: You have estimated the following simple regression
Q12: You have estimated a regression model and
Q13: Which of the following leads to