To model the relationship between a predictor

variable and the probability of an outcome variable, binary logistic regression

uses the logit transformation.

Binary logistics regression uses predictor

variables to estimate the probability of a specific outcome.

The target variable can have more than

two level if one of the levels is coded as 0.

The mean of the target variable in binary logistic

regression is a probability, which is between 0 and 1.