Graph for identifying outliers.

ols_plot_resid_stud(model, threshold = NULL, print_plot = TRUE)

## Arguments

model |
An object of class `lm` . |

threshold |
Threshold for detecting outliers. Default is 3. |

print_plot |
logical; if `TRUE` , prints the plot else returns a plot object. |

## Value

`ols_plot_resid_stud`

returns a list containing the
following components:

outliersa `data.frame`

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

## Examples

ols_plot_resid_stud(model, threshold = 2)