Top variables that correlate with Runs scored by the New York Yankees

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Data source: Baseball-Reference.com
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Runs scored by the New York Yankees correlates with...

Variable	Correlation	Years	Has img?
New York Yankees' victories	r=0.88	48yrs	No
The divorce rate in New York	r=0.69	23yrs	No

Runs scored by the New York Yankees also correlates with...

Variable	Correlation	Years	Sys. Score
UK Public Library Count	r=0.87	12yrs	276
Total Runs Scored by Chicago Cubs Team in National League (Central and East Division)	r=0.75	48yrs	242
Annual US household spending on clothin for women	r=0.79	23yrs	242
Home Run Count for the Texas Rangers Team	r=0.7	48yrs	234
Popularity of the first name Tristin	r=0.57	48yrs	203
Popularity of the first name Kyra	r=0.55	48yrs	200
Popularity of the first name Triston	r=0.55	48yrs	200
Detroit Tigers' number of lost games in a specific season of the American League	r=0.56	48yrs	183
British Open Golf Championship winner's score	r=0.55	48yrs	182
Fossil fuel use in Macau	r=0.57	42yrs	180
Petroluem consumption in Greece	r=0.58	43yrs	180
Jet fuel used in Hungary	r=0.59	40yrs	178
Air pollution in Jamestown, New York	r=0.58	34yrs	175
Annual US household spending on clothing	r=0.67	23yrs	174
US household spending on alcoholic beverages	r=0.65	23yrs	172
US average milk-fat content of cottage cheese	r=0.67	22yrs	170
Popularity of the first name Tristen	r=0.54	48yrs	168
How nerdy Numberphile YouTube video titles are	r=0.73	13yrs	164
How geeky minutephysics YouTube video titles are	r=0.73	13yrs	164
Total annual cinema attendance in the UK	r=0.71	22yrs	160
Popularity of the first name Jada	r=0.54	48yrs	158
The number of tire repairers and changers in New York	r=0.71	20yrs	158
How cool Technology Connections YouTube video titles are	r=0.71	9yrs	158
The number of movies John Boyega appeared in	r=0.66	13yrs	156
Total Number of Successful Mount Everest Climbs	r=0.56	37yrs	155
The number of cashiers in New York	r=0.68	20yrs	153
Number of Las Vegas Hotel Room Check-Ins	r=0.53	39yrs	152
US household spending on public transportation	r=0.61	23yrs	150
Popularity of the first name Esmeralda	r=0.54	48yrs	148
Jet fuel used in Jamaica	r=0.58	42yrs	148
US household spending on processed vegetables	r=-0.73	23yrs	147
Global iPod Sales	r=0.8	9yrs	146
US household spending on clothin for women	r=0.58	23yrs	146
Air pollution in Jamestown, New York	r=0.48	34yrs	145
Highway diesel consumption in US	r=0.61	20yrs	144
Brick cheese consumption	r=0.49	27yrs	144
GMO use in cotton	r=0.55	23yrs	144
US household spending on food	r=0.56	23yrs	143
US household spending on clothing	r=0.56	23yrs	143
US household spending on vehicle insurance	r=0.55	23yrs	142
China's Rare Earth Element Export Volume	r=0.77	11yrs	140
Annual US household spending on clothing for men	r=0.54	23yrs	140
Popularity of the first name Tamia	r=0.54	48yrs	138
The number of garbage collectors in New York	r=0.68	19yrs	138
Load Factor of US Carrier Flights	r=0.53	20yrs	136
GMO use in cotton	r=0.49	23yrs	136
GMO use in cotton	r=0.48	23yrs	134
The number of movies Jonah Hill appeared in	r=0.47	20yrs	134
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.52	22yrs	133
Google searches for 'where to buy toilet paper'	r=-0.78	20yrs	130
Google searches for 'n95 mask'	r=-0.78	19yrs	130
The marriage rate in New York	r=0.64	23yrs	130
Popularity of the first name Reilly	r=0.54	48yrs	128
Number of Miss World delegates	r=0.53	47yrs	128
How professional-sounding Technology Connections YouTube video titles are	r=0.68	9yrs	123
Fossil fuel use in Czechia	r=0.66	29yrs	120
Popularity of the first name Keeley	r=0.54	48yrs	118
NCAA Men's Skiing champion's points	r=0.48	48yrs	111
Geothermal power generated in Thailand	r=0.62	32yrs	108
Popularity of the first name Alondra	r=0.53	48yrs	107
How professional-sounding Vihart's YouTube video titles are	r=0.58	15yrs	104
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.52	22yrs	103
Popularity of the first name Savanna	r=0.53	48yrs	97
Fossil fuel use in Greece	r=0.53	42yrs	94
US household spending on personal care products and services	r=0.54	23yrs	90
US production of cottage cheese	r=0.61	22yrs	90
Popularity of the first name Brenden	r=0.53	48yrs	87
Average views of 3Blue1Brown YouTube videos	r=0.64	9yrs	87
Gasoline pumped in Greece	r=0.54	43yrs	84
US household spending on clothing for men	r=0.53	23yrs	83
Number of Grand Slam Finals played by Roger Federer	r=0.67	13yrs	81
NCAA Women's Ice Hockey National Championship Winner's Score	r=0.61	22yrs	80
US average dairy skim-solid content of whey products (net)	r=0.5	22yrs	80
Annual US household spending on vehicle insurance	r=0.52	23yrs	77
How geeky Deep Look YouTube video titles are	r=0.62	10yrs	75
Global Per Capita Rice Consumption	r=0.49	20yrs	75
Petroluem consumption in Portugal	r=0.54	43yrs	74
Assist Tackle Count by Champ Bailey in a Given Year	r=0.68	15yrs	70
Petroluem consumption in Spain	r=0.54	43yrs	64
How geeky Technology Connections YouTube video titles are	r=0.62	9yrs	64
Popularity of the first name Regan	r=0.53	48yrs	57
Gasoline pumped in Ireland	r=0.53	43yrs	52
How professional-sounding Computerphile YouTube video titles are	r=0.59	11yrs	52
Popularity of the first name Shyanne	r=0.53	48yrs	47
Petroluem consumption in Syria	r=0.54	42yrs	42
Popularity of the first name Lesly	r=0.53	48yrs	37
Jet fuel used in United Kingdom	r=0.53	43yrs	32
Popularity of the first name Damaris	r=0.53	48yrs	27
Fossil fuel use in Austria	r=0.51	42yrs	21
Popularity of the first name Keion	r=0.53	48yrs	17
Electricity generation in United Kingdom	r=0.51	42yrs	11
Popularity of the first name Makayla	r=0.52	48yrs	6
Petroluem consumption in Croatia	r=0.61	30yrs	1
Popularity of the first name Trenton	r=0.52	48yrs	-4
Gasoline pumped in Croatia	r=0.61	30yrs	-9
Popularity of the first name Ty	r=0.52	48yrs	-14
Gasoline pumped in Jamaica	r=0.53	42yrs	-19
Electricity generation in Denmark	r=0.5	42yrs	-30
Gasoline pumped in Czechia	r=0.6	30yrs	-40

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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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