As in the case of linear regression, in order to be valid, the conclusions obtained from a logistic regression must verify that all assumptions are met:
- No multicollinearity
- Linear relationship between the numerical predictors and the log odds of the response variable.
- No autocorrelation (Independence)
- Outliers, high leverage or influential values
- Sample size