Like any statistical model, logistic regression relies on several assumptions:
Binary Outcome: The response variable should be binary. Linear Relationship: There should be a linear relationship between the logit of the outcome and the predictor variables. Independence: Observations should be independent of each other. No Multicollinearity: Predictor variables should not be highly correlated with each other.
