In the probit model, a predicted probability value of 0.95 means that: a. the most likely value the dependent variable will take on is 1.  b. given the values for the explanatory variables, there is a 95 percent probability that the dependent variable will equal one. c. given the values for the explanatory variables, there is a 5 percent probability that the dependent variable will equal zero. d. given the values for the explanatory variables, it is unlikely that the dependent variable will equal zero. e. All of the above. f. None of the above.

If the predicted value of a linear probability model is 2.5: a. it means that the dependent variable is equal to 1 with certainty. b. the regression R2 is then equal to 0.999. c. the dependent variable observed value must be incorrect. d. this has little interpretation since probability is always bounded between zero and one. e. All of the above. f. None of the above.

Continue to use the information from Question 1.Choose the correct statement about column (7): a. The coefficients are estimated by the usual OLS method. b. A drawback of the model is that a predicted probability can be larger than 1. c. The Probit model is easier to compute than the Logit mode when an interaction term is included. d. The estimates suggest that the Government would be more likely to hire a woman than a man if both candidates have 16 years of schooling, but the Government would be more likely to hire a man than a woman if both candidates have 12 years of schooling. e. The estimates suggest that the Government would hire a job candidate with a probability larger than 10% regardless of the gender.

A and B are independent events.P(A) = 0.50P(B) = 0.20What is P(A|B)?A.0.20B.Not enough informationC.0.50D.0.10SUBMITarrow_backPREVIOUS

Which of the following is not a possible value for a probability?A.0.82B.0.001C.D.

If P(E) = 0.05, what is the probability of ‘not E’?