Graph for identifying outliers.
ols_srsd_plot(model)
model | An object of class |
---|
ols_srsd_plot
returns a list containing the
following components:
a tibble with observation number and studentized residuals
that
exceed threshold
threshold
for classifying an observation as an outlier
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.
[ols_srsd_chart()]
model <- lm(mpg ~ disp + hp + wt, data = mtcars) ols_srsd_plot(model)