https://www.stat.cmu.edu/~cshalizi/mreg/15/lectures/20/lecture-20.pdf

University of Michigan - Ann Arbor

WHAT IS OUTLIER DETECTION: identification of points that are extreme in value

Outlier: large residual / departure in the vertical dimension

Leverage point: the extreme value of predictor variable / big difference in the horizontal dimension

Influence point: Removing observation substantially by changing estimate of coefficient

Learn Before

Related