1. Discriminant analysis relies on strictly meeting the assumption of multivariate normality and equal variance-covariance matrices across groups=assumption that are not met in many situations. Logistic regression does not face these strict assumptions and is much more robust when these assumption are not met, making its application appropriate in many situations.