Understanding Pearson's Correlation: A Simple & Clear Explanation 📊

Correlation is one of the most basic statistical measures of how two different things might be related, which means it is very important to have a clear understanding of what it means and how it works. This StatQuest walks you through everything you need to know about Correlation. It tells you what it means, how to interpret it, and what its limitations are.

NOTE: This StatQuest assumes you already know about "variance"... https://youtu.be/SzZ6GpcfoQY
...and covariance... https://youtu.be/qtaqvPAeEJY

...and if you would like to learn more about R-squared, check out these 'Quests!
R-squared, clearly explained: https://youtu.be/2AQKmw14mHM
Linear Regression and R-squared: https://youtu.be/nk2CQITm_eo

For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/

If you'd like to support StatQuest, please consider...

Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join

...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store...
https://statquest.org/statquest-store/

...or just donating to StatQuest!
https://www.paypal.me/statquest

Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer

0:00 Awesome song and introduction
0:55 Motivation for correlation
2:32 Strong and weak relationships
3:25 Correlation vs causation
4:26 Correlation quantifies relationships
6:00 Why correlation values need p-values
9:50 Negative correlation values
11:30 Correlation = 0, explained
12:11 Small p-values do not imply high correlations
13:38 How to calculate correlation
16:32 Correlation vs R-squared
17:31 Summary of concepts
#statquest #correlation