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.

Question

Quizplus · Accepted Answer

Complete separation occurs when the outcome variable can be perfectly predicted by one or a combination of variables. This means that there is a perfect association between the predictor variables and the outcome variable, which leads to infinite or undefined parameter estimates in logistic regression models.

Complete Separation Is