I continue my previous blog post on visualizing linear regression models using R (link). Part 2 focuses on using visualization to assess whether the model’s residuals were associated with the predicted values and whether they are normally distributed.
The R Markdown code that I wrote to create this tutorial is located on my GitHub site (link).
You can find the tutorials on my RPubs site:
Part 2 - Visualizing linear regression model using R (link)
(NOTE: on 30 January 2022, I updated these tutorials and they can be found in my RPubs page here. The R Markdown code is saved on my GitHub page here.)