Multiple Choice
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.
Correct Answer:

Verified
Correct Answer:
Verified
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