# Simple Linear Regression – Theory + Math Explained

I still remember that day when I started learning Linear Regression(LR), the very first step to learn Machine Learning. Firstly, I going to tell you What is LR and, secondly, how you can take the very first step to learn ML with LR.

### What is a Linear Regression(LR)?

The **Linear Regression**(**LR**) is a statistical regression model that allows us to find a relationship between a **Responsive** variable( say **y** ) and one **Explanatory** variable ( say **x** ). On the other hand, Simple LR means it has only one class.

Because it uses only one **Explanatory** variable or **Independent** variable so it is being called **SLR**. If it gets more than one **Explanatory** variable or **Independent** variable, then it will be called **Multiple Linear Regression**.

In **Machine Learning** it comes under **Supervised Machine Learning**.

### How does SLR works?

**Please WATCH the below video to understand SLR in the easiest way.** And Please download the PDF file to study.

**Download **the Below file(s) **SLR-Theory-Tec4Tric** to learn the **Theory **part & **SLR-Math-Tec4Tric** to learn How to solve an SLR Problem.

Read More about Machine Learning here – Machine Learning Blog

Machine Learning Tutorial by Sayan De – YouTube