stevensanderson,
@stevensanderson@mstdn.social avatar

As data analysts, we know that no model is perfect. Residuals, the differences between observed and predicted values, offer valuable insights into the strengths and weaknesses of our models. Introducing the plot_regression_residuals() function from the tidyAML R package - a game-changer for visualizing regression residuals.

#R

Post: https://www.spsanderson.com/steveondata/posts/2024-03-18/

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