Which of the following is the most appropriate explanation of logistic regression?
A) The use of predictor variables that are categorical or continuous, but the outcome variable is a categorical dichotomy variable.
B) The use of predictor variables that have to be continuous, but the outcome variable is a categorical dichotomy variable.
C) The use of predictor variables that have to be categorical, but the outcome variable is a categorical dichotomy variable.
D) The use of predictor variables that are categorical or continuous, but the outcome variable is a continuous variable.

Question

Quizplus · Accepted Answer

Logistic regression is used when the outcome variable is a categorical dichotomy variable (e.g. yes/no, success/failure), and the predictor variables can be categorical or continuous.

Which of the Following Is the Most Appropriate Explanation of Logistic