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.


Answer: A

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