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 dierent 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 coecient 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.