Consider a binary response variable y and two predictor variables x1 and x2. The following table contains the parameter estimates of the linear probability model (LPM) and the logistic regression model, with the associated p-values shown in parentheses. a. At the 5% significance level, comment on the significance of the variables for both modec. b. What is the predicted probability implied by the linear probability model for x1=5 with x2 equal to 11 and 27 ? What is the predicted probability implied by the linear probability model for x1=5 with x2 equal to 11 and 27 ? Note: Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places. Report the probability between 0 and 1 (not in %). c. What is the predicted probability implied by the logistic model for x1=5 with x2 equal to 11 and 27 ? Note: Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places. Report the probability between 0 and 1 (not ln% ). Consider a binary response variable y and two predictor variables x1 and x2. The following table contains the parameter estimates of the linear probability model (LPM) and the logistic regression model, with the associated p-values shown in parentheses. a. At the 5% significance level, comment on the significance of the variables for both modec. b. What is the predicted probability implied by the linear probability model for x1=5 with x2 equal to 11 and 27 ? What is the predicted probability implied by the linear probability model for x1=5 with x2 equal to 11 and 27 ? Note: Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places. Report the probability between 0 and 1 (not in %). c. What is the predicted probability implied by the logistic model for x1=5 with x2 equal to 11 and 27 ? Note: Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places. Report the probability between 0 and 1 (not ln% )