Two Methods for Performing Graphical Residuals Analysis

An essential part of a regression analysis is to understand if we can use a linear model or not for solving our ML problem. There are many ways to do this, and, generally, we have to use multiple ways to understand if our data are really linear distributed. In this article, we will see two different graphical methods for analyzing the residuals in a regression problem: but those are just two methods useful for understanding if our data are linearly distributed. You can use just one of these methods, or even both, but you will need the help of other metrics to better validate your hypothesis (the model to be used is linear): we'll see other methods in future articles. But first of all…what are the residuals in a regression problem?