1.True or False: The linear model used in Multiple Regression appears as the exponent in the predicted probability equation of Logistic Regression.

2.If your outcome is a continuous numerical variable, should you use linear or logistic regression?

3.I conducted a simple logistic regression to predict whether someone would buy a car based solely on whether or not they had previously owned the same make of vehicle. It turns out that it is a significant predictor. The odds ratio was 3.5. Which of the following statements is true?

A.The likelihood that you will purchase a given make of vehicle is 3.5 times higher if you've previously owned that make.

B.The odds of you buying a given make of vehicle is 35% higher if you previously owned that make of vehicle.

C.This odds ratio was miscalculated, that is an impossible value.

D.You are 2.5 times more likely to buy a certain make of vehicle if you've previously owned one.