Graph for detecting violation of normality assumption.

## Arguments

- model
An object of class

`lm`

.- print_plot
logical; if

`TRUE`

, prints the plot else returns a plot object.

## See also

Other residual diagnostics:
`ols_plot_resid_box()`

,
`ols_plot_resid_fit()`

,
`ols_plot_resid_hist()`

,
`ols_test_correlation()`

,
`ols_test_normality()`

## Examples

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