This Linear Regression Tutorial will introduce you to the concept of linear regression and in the process tell you what regression analysis is and how can you implement simple and multiple linear regression using Python

This tutorial will focus on two main broad topics that are Simple Linear Regression and Multiple Linear regression. Throughout the tutorial, key points are illustrated with clear, step-by-step examples for better understanding. By the end of the tutorial, you will be able to compute all of the essential outputs for simple linear regression and multiple regression. Most important, you will be able to correctly interpret the outputs you produce.

Linear regression is a common Statistical Data Analysis technique that is widely being used. Commonly, it is used to determine the extent to which there is a linear relationship between a dependent variable and one or more independent variables. In this tutorial, we will be addressing various aspects such as excel implementation of Linear regression, Python notebook implementation, learning objective and much more that would help you to ace your skills in " Linear Regression" along with the examples and visuals that would help to understand the whole process in a better way.

• 0:00 - Introduction
• 0:23 - Learning objective
• 01:14 - Simple and multiple linear regression
• 45:02 - excel implementation of Linear regression
• 1:12:00- Python notebook implementation.

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