Mastering Simple Linear Regression: A Comprehensive Guide with Examples and Applications
It may seem simple linear regression is neglected in the machine learning world of today. But linear regression is one of the most fundamental concepts. It helps to understand higher and more complex algorithms. So, it is important to master this algorithm. In this tutorial, you will learn about the concepts behind simple linear regression. We will also show how to code it in Python.
1. Introduction
Regression is a statistical method using a single dependent variable and one or more independent variable(s). There are various types of regressions used in data science and machine learning.
Definition of Simple Linear Regression
The dependent variable is continuous. The independent, predictor variable can be either continuous or categorical. It assumes that the relation between X and Y is approximately linear. Thus, the change in the Y is proportional to the change in X.
