● Subsets: all data should come from the same population ● Extrapolation: doing unfounded assumptions ● Outliers, leverage, and influence: A point with high leverage and influence changes our understanding of the data in the model, sometimes it is better to omit these values to get a better understanding of data. ● Lurking variable: Is when a third variable is influencing both variables, correlation does not equal causation.