Indicate whether the following statements are true or false. If the statement is false, alter it so that the statement becomes true.

a. Logistic regression refers to methods for describing the relationship between a categorical response variable and a set of categorical predictor variables.

b. Logistic regression assumes the relationship between the predictor and the response is nonlinear.

c. ????(x) may be interpreted as a probability.

d. Logistic regression models assume that the error term ???? is normally distributed with mean zero and constant variance.

e. In logistic regression, closed-form solutions for the optimal values of the regression coefficients may be obtained.

f. The saturated model predicts the response variable perfectly. g. The deviance represents the total variability in the response. h. Encoding a trichotomous predictor requires only two indicator variables. i. The t-test provides a method for finding the response probabilities. j. The interpretation of the logistic regression coefficient for a continuous predictor may be extended from the usual unit increase to an increase of any arbitrary amount. k. The estimated OR is constant across the range of the predictor.