Example Concept: Outliers are data points that deviate significantly from other observations in the dataset. In regression models, they can disproportionately affect the slope and intercept of the regression line, resulting in a model that does not accurately represent the underlying relationship between the independent and dependent variables. Techniques such as robust regression, data transformation, or outlier removal can help mitigate their impact.