Top variables that correlate with The average age of batters for the Kansas City Royals

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Data source: Baseball-Reference.com
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The average age of batters for the Kansas City Royals correlates with...

Variable	Correlation	Years	Sys. Score
How nerdy Extra History YouTube video titles are	r=0.86	12yrs	303
The number of farm equipment mechanics in Kansas	r=0.89	13yrs	302
Solar power generated in North Macedonia	r=0.89	11yrs	282
Popularity of the first name Lindsey	r=0.68	48yrs	250
Popularity of the first name Krystal	r=0.68	48yrs	250
Popularity of the first name Lacey	r=0.67	48yrs	248
Popularity of the first name Lyndsey	r=0.65	48yrs	215
Popularity of the first name Ashlie	r=0.64	48yrs	204
Popularity of the first name Lacy	r=0.64	48yrs	194
Kerosene used in Australia	r=0.62	43yrs	186
Popularity of the first name Ashely	r=0.64	48yrs	184
Fossil fuel use in Sierra Leone	r=0.6	42yrs	184
Divorce rates in the United Kingdom	r=0.61	38yrs	182
Popularity of the first name Lyndsay	r=0.64	48yrs	174
Bachelor's degrees awarded in social services	r=0.83	10yrs	174
US household spending on small appliances	r=0.67	23yrs	174
How insightful Mark Rober YouTube video titles are	r=0.77	13yrs	170
Associates degrees awarded in Parks & Recreation	r=0.8	11yrs	168
How good Deep Look YouTube video titles are	r=0.77	10yrs	168
Associates degrees awarded in Theology	r=0.79	11yrs	167
Popularity of the first name Mai	r=0.64	48yrs	164
Arson in United States	r=0.58	38yrs	164
Intercountry adoptions	r=0.78	15yrs	160
Motor vehicle thefts	r=0.55	38yrs	159
Burglary rates in the US	r=0.54	38yrs	158
The distance between Uranus and Saturn	r=-0.54	49yrs	156
Popularity of the first name Ashley	r=0.63	48yrs	152
Kerosene used in Cuba	r=0.6	42yrs	152
McDonald's American Customer Satisfaction Index Score	r=0.71	23yrs	144
Evaporated and condensed milk consumption	r=0.46	32yrs	144
Popularity of the first name Cassie	r=0.63	48yrs	142
Gasoline pumped in France	r=0.59	43yrs	141
Average number of milk cows in the United States	r=0.55	43yrs	140
Number of Slot Machines in Nevada	r=-0.6	39yrs	138
The number of nursing assistants in Kansas	r=0.74	11yrs	138
How nerdy LockPickingLawyer YouTube video titles are	r=0.77	9yrs	136
The number of movies George Clooney appeared in	r=-0.55	42yrs	136
Associates degrees awarded in Business administration	r=0.77	11yrs	134
The number of movies Timothee Chalamet appeared in	r=0.5	16yrs	134
Annual book sales in the US	r=0.71	11yrs	132
Remaining Forest Cover in the Brazilian Amazon	r=0.49	36yrs	132
The number of movies Helena Bonham Carter appeared in	r=-0.52	41yrs	132
Popularity of the first name Katie	r=0.62	48yrs	130
Gasoline pumped in Austria	r=0.58	43yrs	130
Robberies in the US	r=0.54	38yrs	128
How geeky LockPickingLawyer YouTube video titles are	r=0.77	9yrs	126
Bachelor's degrees awarded in Psychology	r=0.75	10yrs	122
Popularity of the first name Jarvis	r=0.62	48yrs	120
Jet fuel used in Central African Republic	r=0.59	42yrs	120
How clickbait-y LEMMiNO YouTube video titles are	r=0.74	12yrs	115
Popularity of the first name Pierre	r=0.62	48yrs	110
Gasoline pumped in Cuba	r=0.59	42yrs	110
Associates degrees awarded in Precision production	r=0.74	11yrs	110
How 'hip and with it' Mark Rober YouTube video titles are	r=0.72	13yrs	103
Gasoline pumped in Somalia	r=0.59	42yrs	100
Bachelor's degrees awarded in journalism	r=0.74	10yrs	100
Popularity of the first name Dustin	r=0.61	48yrs	99
Burglaries in Kansas	r=0.51	38yrs	98
How fun Mark Rober YouTube video titles are	r=0.72	13yrs	93
Kerosene used in Venezuela	r=0.59	42yrs	90
Bachelor's degrees awarded in Parks & Recreation	r=0.74	10yrs	90
Popularity of the first name Lindsay	r=0.61	48yrs	89
Violent crime rates	r=0.52	38yrs	84
How geeky SciShow Space YouTube video titles are	r=0.74	10yrs	83
Popularity of the first name Ashlee	r=0.61	48yrs	79
Kerosene used in Egypt	r=0.58	42yrs	78
Associates degrees awarded in Engineering	r=0.73	11yrs	78
How good MinuteEarth YouTube video titles are	r=0.72	11yrs	71
Popularity of the first name Linsey	r=0.61	48yrs	69
Kerosene used in Thailand	r=0.58	42yrs	68
Associates degrees awarded in Military technologies	r=0.73	11yrs	68
Popularity of the first name Joanna	r=0.6	48yrs	58
How trendy LEMMiNO YouTube video titles are	r=0.69	12yrs	58
Kerosene used in Hong Kong	r=0.57	42yrs	57
Associates degrees awarded in Liberal arts	r=0.72	11yrs	56
Popularity of the first name Randi	r=0.6	48yrs	48
How fun Computerphile YouTube video titles are	r=0.7	11yrs	48
Master's degrees awarded in law enforcement and firefighting	r=0.71	10yrs	46
Petroluem consumption in Uruguay	r=-0.71	42yrs	42
How cool Mark Rober YouTube video titles are	r=0.68	13yrs	37
Associates degrees awarded in Communication	r=0.71	11yrs	35
Hydopower energy generated in Papua New Guinea	r=-0.63	42yrs	28
Total views on SciShow Space YouTube videos	r=0.7	10yrs	27
Bachelor's degrees awarded in Health professions	r=0.68	10yrs	21
How provocative CGP Grey YouTube video titles are	r=0.68	13yrs	17
Liquefied petroleum gas used in Israel	r=-0.63	43yrs	16
Associates degrees awarded in Physical sciences	r=0.67	11yrs	9
How 'hip and with it' LockPickingLawyer YouTube video titles are	r=0.7	9yrs	6
Petroluem consumption in Brunei	r=-0.63	42yrs	4
Associates degrees awarded in Psychology	r=0.67	11yrs	-1
Petroluem consumption in Chile	r=-0.62	43yrs	-6
How cool MinuteEarth YouTube video titles are	r=0.64	11yrs	-11
Associates degrees awarded in Physical sciences	r=0.66	11yrs	-12
Liquefied petroleum gas used in Chile	r=-0.65	39yrs	-16
Associates degrees awarded in Multi/interdisciplinary studies	r=0.65	11yrs	-24
Average views of Mark Rober YouTube videos	r=0.59	13yrs	-26
Biomass power generated in Panama	r=0.54	42yrs	-34
Bachelor's degrees awarded in Physical sciences	r=0.65	10yrs	-34
How trendy MinuteEarth YouTube video titles are	r=0.61	11yrs	-36
Master's degrees awarded in Engineering	r=0.65	10yrs	-44
How trendy LockPickingLawyer YouTube video titles are	r=0.66	9yrs	-50

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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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