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)

## Arguments

model |
An object of class `lm` . |

variable |
New predictor to be added to the `model` . |

## Deprecated Function

`ols_rvsr_plot()`

has been deprecated. Instead use `ols_plot_resid_regressor()`

.

## 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)