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"...    • Calculating the Mean, Variance and St...  
...and covariance...    • Covariance, Clearly Explained!!!  

...and if you would like to learn more about Rsquared, check out these 'Quests!
Rsquared, clearly explained:    • Rsquared, Clearly Explained!!!  
Linear Regression and Rsquared:    • Linear Regression, Clearly Explained!!!  

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

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

Buying The StatQuest Illustrated Guide to Machine Learning!!!
PDF https://statquest.gumroad.com/l/wvtmc
Paperback https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook https://www.amazon.com/dp/B09ZG79HXC

Patreon:   / statquest  
...or...
YouTube Membership:    / @statquest  

...a cool StatQuest tshirt or sweatshirt:
https://shop.spreadshirt.com/statques...

...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/

...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:
  / 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 pvalues
9:50 Negative correlation values
11:30 Correlation = 0, explained
12:11 Small pvalues do not imply high correlations
13:38 How to calculate correlation
16:32 Correlation vs Rsquared
17:31 Summary of concepts
#statquest #correlation