ols_plot_resid_regressor function

Residual vs regressor plot

Graph to determine whether we should add a new predictor to the model already containing other predictors. The residuals from the model is regressed on the new predictor and if the plot shows non random pattern, you should consider adding the new predictor to the model.

ols_plot_resid_regressor(model, variable, print_plot = TRUE)

Arguments

• model: An object of class lm.
• variable: New predictor to be added to the model.
• print_plot: logical; if TRUE, prints the plot else returns a plot object.

Examples

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

See Also

ols_plot_added_variable(), ols_plot_comp_plus_resid()