Complete separation is:
A. When the observed variance is bigger than expected from the logistic regression model.
B. When the outcome variable can be perfectly predicted by one variable or a combination of variables.
C. When the outcome variable is completely separate from all other variables.
D. When all predictor variables are perfectly uncorrelated.
Answer: B
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