## What is Simple Linear Regression(SLR)?

**Simple Linear Regression**(**SLR**) is a statistical regression model that allows us to find a relationship between a **Responsive** variable( say **y** ) and one **Explanatory** variable ( say **x** ).

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 do 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

### What is a simple linear regression model?

**Simple Linear Regression** is a statistical regression model that allows us to find a relationship between a **Responsive** variable(say **y**) and one **Explanatory** variable (say **x**). So, the simple linear function would be y = ax + b, where “a” is the slope and “b” is the intercept.

### How do you calculate simple linear regression?

It’s as simple as Y = a+bx, now we have to calculate a & b with some formula(s).

### What is the difference between simple linear regression and multiple linear regression?

If the linear regression model uses only one **Explanatory** variable or **Independent** variable so it will be called **Simple Linear Regression**. If it gets more than one **Explanatory** variable or **Independent** variable, then it will be called **Multiple Linear Regression**.