Easy Statistics: Linear Regression

Description

To work with statistics and quantitative reports, you need to have a good understanding of the fundamentals and techniques of statistics. However, learning and applying new statistical techniques can often be a daunting experience and this is where this video course comes in handy. This course is designed to guide you through the basic principles of statistical methodology in a step-by-step way. You'll start with an introduction to the course along with an overview of the learning objectives. Next, you'll explore the types of regression analysis that exist, and find out how ordinary least squares (OLS) work. To get a deeper understanding of linear regression and OLS, you'll interpret and analyze complicated regression output from OLS. Finally, you'll discover essential tips and techniques that'll help you to confidently perform regression analysis. By the end of this video, you'll be well-versed with linear regression techniques and the basic principles of statistical methodology. The code and resources for this course is available at https://github.com/PacktPublishing/Easy-Statistics-Linear-Regression

What You Will Learn

Understand the basic concept of statistical regression analysis
Become familiar with linear regression terminologies
Distinguish between different kinds of regression methods
Find out the difference between correlation and causation
Analyze and integrate complicated regression output from OLS
Explore tips and tricks relating to regression analysis

Audience

If you are a student at any level, an experienced professional, a manager, or a government worker who wants to delve into statistical regression or work with quantitative reports and policy analysis, then this course is for you. As the course is for beginners, it doesn't require you to have any knowledge of mathematics or statistics.

Approach

With the help of animated graphics and interesting examples, this course will teach you the fundamentals of statistical regression terminologies.

Key Features

Explore the basic statistical fundamentals of ordinary least squares (OLS) * Understand linear regression and its application * Gain the confidence to interpret complicated regression output

Github Repo

https://github.com/PacktPublishing/Easy-Statistics-Linear-Regression

About the Author

Franz Buscha

Franz Buscha is a professor of economics at the University of Westminster, which he joined after completing his Ph.D. in economics at Lancaster University. He has been involved in numerous funded research projects from research councils and government departments. He has also contributed to a wide range of projects, including policy evaluation and bespoke econometric advice to UK government departments. Franz has published in leading journals and contributed to numerous policy reports. His research has even been covered by various media outlets. He is an experienced online educator and has published several online courses, including LinkedIn Learning. Franz also has a monthly radio program called Policy Matters on Share Radio.

Course Outline

1. Introduction

2. What is Regression?

3. What is Ordinary Least Squares?

4. Ordinary Least Squares Regression in Practice

5. Tips and Final Thoughts