In the final section, before the post’s conclusion, other diagnostical tools will be mentioned. The following section will cover how to make the different residual plots in R. fitted plot, the normal probability plot (Q-Q plot), and a histogram of the residuals. Here you will learn about the residual vs. Additionally, you will learn about some of the different types of residual plots, and how to interpret them. The first section of this blog post will cover when you may have used for a residual plot. They are handy for identifying issues with the model assumptions, such as non-linearity, non-normality, and heteroscedasticity. Residual plots are a graphical tool that can evaluate the quality of a regression model. Moreover, you will learn when to use different residual plots and how to interpret them. This post will teach you how to make a residual plot in R.
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