Scatter plot of residuals on the y axis and fitted values on the
x axis to detect non-linearity, unequal error variances, and outliers.

ols_plot_resid_fit(model)

## Arguments

model |
An object of class `lm` . |

## Details

Characteristics of a well behaved residual vs fitted plot:

The residuals spread randomly around the 0 line indicating that the relationship is linear.

The residuals form an approximate horizontal band around the 0 line indicating homogeneity of error variance.

No one residual is visibly away from the random pattern of the residuals indicating that there are no outliers.

## Deprecated Function

`ols_rvsp_plot()`

has been deprecated. Instead use `ols_plot_resid_fit()`

.

## See also

Other residual diagnostics: `ols_plot_resid_box`

,
`ols_plot_resid_hist`

,
`ols_plot_resid_qq`

,
`ols_test_correlation`

,
`ols_test_normality`

## Examples

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