The leverage of an observation is based on how much the observation's value on the predictor variable differs from the mean of the predictor variable. The greater an observation's leverage, the more potential it has to be an influential observation.

leverage(model)

Arguments

model
an object of class lm

Value

leverage of the fitted model

Examples

model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars) leverage(model)
#> [1] 0.14830256 0.12992351 0.06317600 0.11598460 0.17187869 0.09986745 #> [7] 0.14720085 0.12912656 0.45839085 0.13597113 0.11541159 0.10343044 #> [13] 0.04684167 0.05527722 0.20578392 0.21066328 0.19546860 0.08593044 #> [19] 0.14685385 0.14389010 0.11957800 0.11051613 0.08002229 0.10635592 #> [25] 0.19566514 0.09324142 0.15093650 0.16467565 0.23978580 0.21863752 #> [31] 0.53168134 0.07953098