Four hundred driver's license applicants were randomly selected and asked whether they passed their driving test (Pass,- = 1) or failed their test (Pass,- = 0); data were also located on their gender (Malel- = 1 if male and = 0 if female) and their years of driving experience (Experience), in years). The following table summarizes the results from several probit, Iggi_t and linear probability models. Dependent variable: Pass. Regression Model Probit Logit LPM Probit Logit LPM Probit Regressor (1) (2) (3) (4) (5) (6) (7) Experience 0.035 0.041 0.006 0.042 (0.008) (0.017) (0.003) (0.159) - 0.332 - 0.621 - 0.074 - 0.174 Ma'e (0.164) (0.303) (0.035) (0.259) Male x Experience -0.014 (0.021) Constant 0.718 1.051 0.777 1.287 2.191 0.904 0.807 (0.129) (0.223) (0.036) (0.126) (0.244) (0.023) (0.202) Use the results in column (7) to answer the following questions. Akira is a man with 19 years of driving experience. What is the predicted probability that he will pass the test? The predicted probability that Akira will pass the test is 0.878 (Round your response to three decimal places) Jane is a woman with 3 years of driving experience. What is the predicted probability that she will pass the test? The predicted probability that Jane will pass the test is