Multiple Choice
The major flaw of the linear probability model is that
A) the actuals can only be 0 and 1, but the predicted are almost always different from that.
B) the regression R2 cannot be used as a measure of fit.
C) people do not always make clear-cut decisions.
D) the predicted values can lie above 1 and below 0.
Correct Answer:

Verified
Correct Answer:
Verified
Q11: The binary dependent variable model is an
Q12: The logit model derives its name from<br>A)the
Q13: Nonlinear least squares<br>A)solves the minimization of the
Q14: The maximum likelihood estimation method produces, in
Q15: In the probit model Pr(Y = 1
Q17: The following tools from multiple regression analysis
Q18: E(Y | X<sub>1</sub>, ..., X<sub>k</sub>)= Pr(Y =
Q19: In the linear probability model, the interpretation
Q20: When having a choice of which estimator
Q21: Your textbook plots the estimated regression function