In Logistic Regression, the relationship between the probability of success and the predicting variables are non-linear, and the errors are assumed to follow normal distribution. the sampling distribution used for regression coefficient estimator is Chi squared for large sample size? We still perform residual analysis althought there are no error terms in a logistic regression model using binary data with replications? Can I get help on above statements as true or false with explanation please