Easy Statistics: Linear Regression

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13 on-demand videos & exercises
Level: All Levels
English
1hrs 33mins
Access on mobile, web and TV

Who's this course for?

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.

What you'll 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.

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.

Course Curriculum

What to know about this course

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

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. 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.