olsrr (version 0.4.0)

ols_rvsp_plot: Residual vs Fitted Plot

Description

It is a 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_rvsp_plot(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.

Examples

# NOT RUN {
model <- lm(mpg ~ disp + hp + wt, data = mtcars)
ols_rvsp_plot(model)
# }