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.

ols_leverage(model)

Arguments

model

An object of class lm.

Value

Leverage of the model.

References

Kutner, MH, Nachtscheim CJ, Neter J and Li W., 2004, Applied Linear Statistical Models (5th edition). Chicago, IL., McGraw Hill/Irwin.

See also

Other influence measures: ols_hadi, ols_pred_rsq, ols_press

Examples

model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars) ols_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