olsrr: ols_plot_resid_fit – R documentation

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ols_plot_resid_fit

Residual vs fitted plot

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, print_plot = TRUE)

`model`	An object of class `lm`.
`print_plot`	logical; if `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.

ols_rvsp_plot() has been deprecated. Instead use ols_plot_resid_fit().

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

Tools for Building OLS Regression Models

v0.5.3

MIT + file LICENSE

Authors

Aravind Hebbali [aut, cre]

Initial release