266a3862_art_III___Stats_With_Cats_Blog__Identification
[Your Model] Outliers [Correction] Conduct a test on the aberrant data points to determine if they are statistical anomalies. Use diagnostic statistics like leverage to evaluate the effects of suspected outliers. Evaluate the metadata of the samples to determine if they are representative of the population being modeled. If so, retain the outlier as an influential observation (AKA leverage point). [Identification] 
Plot the dependent variable against each independent variable. If more than about 5% of the data pairs plot noticeable apart from the rest of the data points, you may have outliers.
Regression Fantasies: Part III | Stats With Cats Blog
Identification