Top variables that correlate with The number of umpires and referees in Minnesota

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Data source: Bureau of Larbor Statistics
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The number of umpires and referees in Minnesota correlates with...

Variable	Correlation	Years	Sys. Score
How insightful AsapSCIENCE YouTube video titles are	r=0.85	11yrs	280
Popularity of the first name Mindy	r=0.8	19yrs	188
The distance between Neptune and Mercury	r=0.75	19yrs	164
Popularity of the first name Marlena	r=0.77	19yrs	164
Popularity of the first name Corrina	r=0.77	19yrs	164
Remaining Forest Cover in the Brazilian Amazon	r=0.71	19yrs	162
Burglaries in Minnesota	r=0.7	19yrs	162
Google searches for 'oprah winfrey'	r=0.71	19yrs	158
Jet fuel used in Albania	r=0.73	18yrs	157
Google searches for 'shook'	r=0.7	19yrs	156
Gasoline pumped in Albania	r=0.72	18yrs	156
Kerosene used in Japan	r=0.72	19yrs	156
US household spending on postage and stationery	r=0.7	19yrs	155
Total views on OverSimplified YouTube videos	r=0.81	7yrs	150
How professional-sounding AsapSCIENCE YouTube video titles are	r=0.78	11yrs	150
Visitors to SeaWorld Florida	r=0.75	15yrs	146
Arson in United States	r=0.68	19yrs	144
Cottage cheese consumption	r=0.67	18yrs	142
Ice cream consumption	r=0.64	18yrs	138
Robberies in the US	r=0.64	19yrs	138
The number of movies Bill Nighy appeared in	r=0.64	19yrs	138
The number of movies Steve Buscemi appeared in	r=0.64	19yrs	138
Academy Awards Ceremony Audience Size	r=0.68	19yrs	137
Google searches for 'panama canal'	r=0.67	19yrs	137
The distance between Neptune and the Sun	r=0.67	19yrs	137
US production of cottage cheese	r=0.68	18yrs	136
NASA's budget as a percentage of the total US Federal Budget	r=0.63	19yrs	136
The distance between Neptune and Earth	r=0.66	19yrs	136
US household spending on housekeeping supplies	r=0.67	19yrs	136
Searches for 'never gonna give you up'	r=-0.81	17yrs	136
Value of the Victoria's Secret Annual Fantasy Bra	r=0.68	16yrs	134
Popularity of the first name Lakota	r=0.77	19yrs	134
Viewership count for Days of Our Lives	r=0.63	18yrs	133
US birth rates of triplets or more	r=0.6	18yrs	132
Physical album shipment volume in the United States	r=0.65	19yrs	132
Lukas Podolski's yearly international goals for Germany national team	r=0.68	14yrs	132
GMO use in corn grown in Minnesota	r=0.61	19yrs	132
HSBC Holdings' stock price (HSBC)	r=0.65	19yrs	132
BP's stock price (BP)	r=0.63	19yrs	132
Emmy Awards Ceremony viewership	r=0.64	19yrs	131
GMO use in cotton	r=0.62	19yrs	131
Annual US household spending on maintenance and repairs	r=-0.81	19yrs	131
US household spending on prescription drugs	r=0.64	19yrs	131
US household spending on clothing	r=0.63	19yrs	130
US household spending on clothin for women	r=0.63	19yrs	130
Air pollution in Duluth	r=0.59	19yrs	130
The number of movies Dakota Fanning appeared in	r=0.58	19yrs	130
Total Goals Scored by Craig Bellamy in Club Football by Seasons	r=0.7	11yrs	129
Kerosene used in Netherlands	r=0.7	19yrs	124
Popularity of the first name Clifton	r=0.76	19yrs	122
How good 3Blue1Brown YouTube video titles are	r=0.78	8yrs	117
Popularity of the first name Tricia	r=0.76	19yrs	112
Google searches for 'Panama Canal'	r=0.67	19yrs	107
The distance between Neptune and the moon	r=0.66	19yrs	106
How cool Vihart's YouTube video titles are	r=0.73	14yrs	106
US dairy skim solids used to produce cottage cheese	r=0.68	18yrs	104
Burglary rates in the US	r=0.61	19yrs	104
Popularity of the first name Sonja	r=0.76	19yrs	102
Petroluem consumption in Japan	r=0.69	19yrs	97
Google searches for 'learn spanish'	r=0.66	19yrs	96
Total likes of OverSimplified YouTube videos	r=0.78	7yrs	96
The distance between Neptune and Saturn	r=0.63	19yrs	91
Popularity of the first name Clarence	r=0.75	19yrs	91
Milk consumption	r=0.58	18yrs	90
Liquefied petroleum gas used in Lithuania	r=0.69	19yrs	87
Google searches for 'snoop dog'	r=0.65	19yrs	84
How insightful Deep Look YouTube video titles are	r=0.75	9yrs	84
Popularity of the first name Hope	r=0.74	19yrs	80
Geothermal power generated in Austria	r=0.69	15yrs	76
Google searches for 'xbox'	r=0.64	19yrs	72
Popularity of the first name Stephan	r=0.74	19yrs	70
How fun Vihart's YouTube video titles are	r=0.69	14yrs	70
Petroluem consumption in Guam	r=0.69	18yrs	66
Google searches for 'how to fake your own death'	r=0.6	19yrs	62
Popularity of the first name Tom	r=0.74	19yrs	60
How fun Deep Look YouTube video titles are	r=0.72	9yrs	59
Liquefied petroleum gas used in Japan	r=0.68	19yrs	56
Popularity of the first name Faith	r=0.73	19yrs	48
Average views of Casually Explained YouTube videos	r=0.71	8yrs	46
Gasoline pumped in Japan	r=0.67	19yrs	44
Popularity of the first name Mckenna	r=0.73	19yrs	38
Total views on CGP Grey YouTube videos	r=0.68	12yrs	36
Gasoline pumped in Norway	r=0.67	19yrs	34
Popularity of the first name Carol	r=0.73	19yrs	28
How 'hip and with it' Computerphile YouTube video titles are	r=0.68	10yrs	24
Kerosene used in El Salvador	r=0.66	18yrs	22
Popularity of the first name Tess	r=0.73	19yrs	18
Gasoline pumped in Finland	r=0.66	19yrs	12
How trendy SciShow Space YouTube video titles are	r=0.67	9yrs	12
Popularity of the first name Catherine	r=0.72	19yrs	6
Kerosene used in United Kingdom	r=0.66	19yrs	2
Popularity of the first name Albert	r=0.72	19yrs	-4
Kerosene used in Norway	r=0.65	19yrs	-9
Popularity of the first name Nelson	r=0.72	19yrs	-14
Gasoline pumped in Switzerland	r=0.65	19yrs	-19
Popularity of the first name Sheldon	r=0.72	19yrs	-24
Kerosene used in United States	r=0.65	19yrs	-29
Popularity of the first name Yvonne	r=0.72	19yrs	-34
Hydopower energy generated in Syria	r=0.63	18yrs	-40
Kerosene used globally	r=0.65	18yrs	-50
Liquefied petroleum gas used in Australia	r=0.64	19yrs	-60

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^{What is Sys. Score?} 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.)


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