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.

Usage

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.

See also

ols_plot_added_variable(), ols_plot_comp_plus_resid()

Examples

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