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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.
ols_plot_resid_fit(model, print_plot = TRUE)
An object of class lm.
lm
logical; if TRUE, prints the plot else returns a plot object.
TRUE
ols_rvsp_plot() has been deprecated. Instead use ols_plot_resid_fit().
ols_rvsp_plot()
ols_plot_resid_fit()
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.
Other residual diagnostics: ols_plot_resid_box, ols_plot_resid_hist, ols_plot_resid_qq, ols_test_correlation, ols_test_normality
ols_plot_resid_box
ols_plot_resid_hist
ols_plot_resid_qq
ols_test_correlation
ols_test_normality
model <- lm(mpg ~ disp + hp + wt, data = mtcars) ols_plot_resid_fit(model)
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