6.4 Exercises: Linear Model II

For this logistic regression, we want to predict whether a customer made a purchase (binary yes/no):

\[\text{logit}( \text{Purchased} ) = b_0 + b_1 \text{Years of Education} + b_2 \text{Gender}\]

\(\text{Years of Education}\) is a continuous variable, and \(\text{Gender}\) = 1 if Female, 0 if Male

We find that \(b_0\) = -2.0, \(b_1\) = 0.3 and \(b_2\) = 0.5.