The case with the largest negative difference between the observed value and the predicted value on the outcome. Depending on the research question, there might be a specific interest in the case for which the model performs worst and yields a larger predicted value.

most_overpredicted(lmobject)

Arguments

lmobject

Object generated with lm

Value

The most overpredicted case with the largest negative residual (the most negative residual).

Examples

df <- lm(mpg ~ disp + wt, data = mtcars) most_overpredicted(df)
#> Ferrari Dino #> -3.40868