9.1 Suppose that a logistic regression model contains one categorical predictor with three categories: A, B, and C. Using dummy coding for the predictor with category A as the reference category, the model has the following parameters: α = −1.0, β1

= 2.0, and β2

= 1.0.

a. What does each of the parameter values represent? Interpret these values fully.

b. If category C were used as the reference category, would the parameter values change?

If so, how would they change and what would each of the parameter values represent?