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Thousands of charts of real data showing actual correlations between ridiculous variables. R2 = 0.4747205 (coefficient of determination) The personal homepage of tyler vigenspurious correlations originally published

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January 27, 2024 what it is If it is 1.00, you probably messed up your correlation function Random correlations dredged up from silly data, turned into linear line charts

Discover a correlation you can discover new spurious correlations using my database

Select a category or scroll to the bottom to search Alternatively, view a random correlation You can also upload your own data to see what it correlates with. I also used a line graph, which makes the visual connection stand out more than it deserves.

Correlation is not causationabout spurious correlations spurious correlations a project that is fun first, and mildly educational second It's great to occasionally break all the rules just to see what happens You shouldn't take this project as a warning against believing research These are useful tools when used correctly.

In the words of gandhi, where there is love there is life, but where there is margarine, there may just be a statistically significant correlation with divorce rates.

Read more about the confidence interval the confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. Correlation is a measure of how much the variables move together If it is 0.99, when one goes up the other goes up