Introduction
Last Updated on July 24, 2023 by Editorial Team
Author(s): ___
Originally published on Towards AI.
In this article, I will explain why when building a linear model, we add an xβxβ term if we think the variables xβ and xβ interact and conclude with a principled method to add interaction terms.
The content of this article is based on Chapter 8 of [1].
I assume the reader has a basic understanding of how linear models work.
Letβs begin by building a model with no interaction terms.
Suppose we would like to model y as a function of xβ and xβ. Then, a linear model that describes this relationship is:
Figure 1: A linear model with no interaction terms
We call Ξ±… Read the full blog for free on Medium.
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