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

Usage

ols_plot_resid_fit(model, print_plot = TRUE)

Arguments

model

An object of class lm.

print_plot

logical; if TRUE, prints the plot else returns a plot object.

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.

Examples

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