Courtney has 11 years of driving experience. What is the predicted probability that she will pass the test? The predicted probability that Courtney will pass the test is (Round your response to three decimal places) Jason is a new driver (zero years of experience). What is the predicted probability that he will pass the test? The predicted probability that Jason will pass the test is (Round your response to three decimal places) 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 (Male; = 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, logit and linear probability models. Dependent variable: Pass. Regression Model Regressor Probit (4) Logit (5) LPM (6) Probit (1) 0.037 (0.007) Logit (2) 0.044 (0.014) LPM (3) 0.008 (0.001) Experience Male -0.332 (0.165) -0.626 (0.303) -0.071 (0.036) Probit (7) 0.044 (0.159) -0.173 (0.263) -0.015 (0.019) 0.807 (0.202) Male x Experience Constant 0.718 (0.129) 1.059 (0.224) 0.774 (0.038) 1.287 (0.127) 2.193 (0.242) 0.901 (0.026) Use the results in column (3) to answer the following questions Courtney has 11 years of driving experience. What is the predicted probability that she will pass the test? The predicted probability that Courtney will pass the test is (Round your response to three decimal places) Jason is a new driver (zero years of experience). What is the predicted probability that he will pass the test? The predicted probability that Jason will pass the test is (Round your response to three decimal places) 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 (Male; = 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, logit and linear probability models. Dependent variable: Pass. Regression Model Regressor Probit (4) Logit (5) LPM (6) Probit (1) 0.037 (0.007) Logit (2) 0.044 (0.014) LPM (3) 0.008 (0.001) Experience Male -0.332 (0.165) -0.626 (0.303) -0.071 (0.036) Probit (7) 0.044 (0.159) -0.173 (0.263) -0.015 (0.019) 0.807 (0.202) Male x Experience Constant 0.718 (0.129) 1.059 (0.224) 0.774 (0.038) 1.287 (0.127) 2.193 (0.242) 0.901 (0.026) Use the results in column (3) to answer the following questions