QUESTION 8 The following tools from multiple regression analysis carry over in a meaningful manner to the linear probability model: a. F-statistic. O b. significance test using the t-statistic. O C. 95% confidence interval using + 1.96 times the standard error. d.99% confidence interval using + 2.58 times the standard error. O e. All of the above. Of. None of the above. QUESTION 9 If the predicted value of a linear probability model is 2.5: 3. it means that the dependent variable is equal to 1 with certainty. Ob. the regression R2 is then equal to 0.999. the dependent variable observed value must be incorrect. O d. this has little interpretation since probability is always bounded between zero and one. O e. All of the above. Of. None of the above. QUESTION 10 If the predicted z-value of a probit regression is Bo + 81X = 1.96, the probability that the dependent variable is equal to zero is: a. 95%. O b- 97.5%. O C. 2.5%. O d. 5%. O e. All of the above. Of. None of the above