# Top 5 Assumptions for Logistic Regression

- The logistic regression assumes that there is minimal or no multicollinearity among the independent variables.
- The Logistic regression assumes that the independent variables are linearly related to the log of odds.
- The logistic regression usually requires a large sample size to predict properly.
- The Logistic regression which has two classes assumes that the dependent variable is binary and ordered logistic regression requires the dependent variable to be ordered, for example
*Too Little, About Right, Too Much*. - The Logistic regression assumes the observations to be independent of each other.