Suppose that the following binary dependent models. The model is based on the driving test of the 400 randomly selected driver's license applicants. Y=1 if passed the test, or 0 otherwise, and X, is years of experiences, X2 is the years of educations. Logit: P(Y=1/X) = F(0.456 + 0.040X,+ 0.057X2) LPM: P(Y=1/X) = 0.023+ 0.011X1+ 0.052X2 a. What are the probabilities of passing the test for a person with 12 years of experiences and 12 years of educations in each model? b. What are the probabilities of passing the test for a person with no experience and no education at all in each model? c. Sketch the predicted probabilities for each model, assuming X2 is fixed at 10. Do you think that the linear probability is appropriate here