View source: R/ols-observed-vs-predicted-plot.R
ols_plot_obs_fit | R Documentation |
Plot of observed vs fitted values to assess the fit of the model.
ols_plot_obs_fit(model, print_plot = TRUE)
model |
An object of class |
print_plot |
logical; if |
Ideally, all your points should be close to a regressed diagonal line. Draw such a diagonal line within your graph and check out where the points lie. If your model had a high R Square, all the points would be close to this diagonal line. The lower the R Square, the weaker the Goodness of fit of your model, the more foggy or dispersed your points are from this diagonal line.
model <- lm(mpg ~ disp + hp + wt, data = mtcars)
ols_plot_obs_fit(model)
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