Inferential Statisticshard
0:00.0

Given a logistic regression model logit(p)=β0+β1Xlogit(p) = \beta_0 + \beta_1 X, why might the Maximum Likelihood Estimator (MLE) for β1\beta_1 be problematic in the case of 'complete separation' of the data points?