- Linear models are limited to linear relationships, such as dependent and independent variables
- Linear regression looks at a relationship between the mean of the dependent variable and the independent variables, and not the extremes of the dependent variable
- Linear regression is sensitive to univariate or multivariate outliers
- Linear regression tend to assume that the data are independent