Chart of cook's distance to detect observations that strongly influence fitted values of the model.

ols_plot_cooksd_chart(model)

## Arguments

model An object of class lm.

## Value

ols_plot_cooksd_chart returns a list containing the following components:

outliers

a tibble with observation number and cooks distance that exceed threshold

threshold

threshold for classifying an observation as an outlier

## Details

Cook's distance was introduced by American statistician R Dennis Cook in 1977. It is used to identify influential data points. It depends on both the residual and leverage i.e it takes it account both the x value and y value of the observation.

Steps to compute Cook's distance:

• Delete observations one at a time.

• Refit the regression model on remaining $$n - 1$$ observations

• exmine how much all of the fitted values change when the ith observation is deleted.

A data point having a large cook's d indicates that the data point strongly influences the fitted values.

## Deprecated Function

ols_cooksd_chart() has been deprecated. Instead use ols_plot_cooksd_chart().

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