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"... [ Ссылка ]
...and covariance... [ Ссылка ]
...and if you would like to learn more about R-squared, check out these 'Quests!
R-squared, clearly explained: [ Ссылка ]
Linear Regression and R-squared: [ Ссылка ]
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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
