Residual vs fitted plotSource:
Scatter plot of residuals on the y axis and fitted values on the x axis to detect non-linearity, unequal error variances, and outliers.
An object of class
TRUE, prints the plot else returns a plot object.
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.
model <- lm(mpg ~ disp + hp + wt, data = mtcars) ols_plot_resid_fit(model)