7. (12 pts) Answer True or False. If your answer is False, explain why it is False.~ a. In an estimated logistic regression model, increasing the cutoff value for classifying a new observation as an Event decreases the sensitivity of the model. b. The area under the ROC curve can be used for comparing different linear regression models. c. For a random event with two possible outcomes {Win, Loss), if the odds ratio of Win over Loss is 0.25, then the probability of Win is 0.2. d. A logistic regression model is estimated with a binary response variable Y and an explanatory variable X. If the estimated coefficient associated with X is -0.2, then P (Y = 1) will decrease by 0.2 when X increases by one unit.~ e. Overfitting is more likely in larger data sets than in smaller data sets.~ f. We can fix overfitting by adding predictors to the model.~