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 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

Sayan De

Sayan De has a B.Tech in Computer Science & Engineering degree and currently pursuing his M.Tech in CSE. His interest area of work is Machine Learning, Deep Learning, Deep NLP, Computer Vision, Data Science, Linux, and a little bit of Website Development.

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