Graph for identifying outliers.

ols_plot_resid_stud(model)

## Arguments

model |
An object of class `lm` . |

## Value

`ols_plot_resid_stud`

returns a list containing the
following components:

outliersa tibble with observation number and `studentized residuals`

that
exceed `threshold`

for classifying an observation as an outlier

threshold`threshold`

for classifying an observation as an outlier

## Details

Studentized deleted residuals (or externally studentized residuals) is the
deleted residual divided by its estimated standard deviation. Studentized
residuals are going to be more effective for detecting outlying Y
observations than standardized residuals. If an observation has an externally
studentized residual that is larger than 3 (in absolute value) we can call
it an outlier.

## Deprecated Function

`ols_srsd_plot()`

has been deprecated. Instead use `ols_plot_resid_stud()`

.

## See also

[ols_plot_resid_stand()]

## Examples

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