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Total revenue generated by the National Hockey League correlates with...
| Variable | Correlation | Years | Has img? |
| Organic Food Sales Volume in the United States | r=0.99 | 7yrs | No |
| Restaurant spending in Alabama | r=0.96 | 15yrs | No |
| Restaurant spending in Alaska | r=0.96 | 15yrs | No |
| Restaurant spending in Colorado | r=0.96 | 15yrs | No |
| The number of paralegals in Arizona | r=0.95 | 15yrs | No |
| The number of paralegals in Oregon | r=0.95 | 15yrs | No |
| Annual US household spending on education | r=0.95 | 15yrs | No |
| The number of registered nurses in California | r=0.95 | 15yrs | Yes! |
| Number of websites on the internet | r=0.92 | 13yrs | No |
| Air quality in Natchez, Mississippi | r=0.89 | 6yrs | No |
| Patents granted in the US | r=0.89 | 15yrs | Yes! |
| Hot days in Paris | r=0.86 | 10yrs | No |
| Petroluem consumption in Peru | r=0.83 | 16yrs | No |
| Number of Lawyers in the United States | r=0.76 | 17yrs | No |
Total revenue generated by the National Hockey League also correlates with...
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You caught me! While it would be intuitive to sort only by "correlation," I have a big, weird database. If I sort only by correlation, often all the top results are from some one or two very large datasets (like the weather or labor statistics), and it overwhelms the page.
I can't show you *all* the correlations, because my database would get too large and this page would take a very long time to load. Instead I opt to show you a subset, and I sort them by a magic system score. It starts with the correlation, but penalizes variables that repeat from the same dataset. (It also gives a bonus to variables I happen to find interesting.)