In statistics, the<unk>  is a commonly used estimate of the influence of a data point when doing least squares regression.<unk>  measures the effect of deleting a given observation. Data points with large residuals (outliers) and/or high leverage may distort the outcome and accuracy of a regression. Points with a<unk>  of 1 or more are considered to merit closer examination in the analysis.
Cook's distance
Breslow's depth
Beau's lines
Kerley lines
Median aperture
EC number
Rape
McBurney's point