Top variables that correlate with The average age of batters for the Chicago Cubs

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Data source: Baseball-Reference.com
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The average age of batters for the Chicago Cubs correlates with...

Variable	Correlation	Years	Sys. Score
US household spending on processed fruits	r=0.86	23yrs	358
Global Per Capita Rice Consumption	r=0.86	20yrs	355
Solar power generated in Moldova	r=0.96	8yrs	350
US milk fat used to produce fluid beverage milk	r=0.86	22yrs	337
The number of librarians in Illinois	r=0.88	16yrs	334
Geothermal power generated in Austria	r=0.86	17yrs	334
Global iPod Sales	r=0.91	9yrs	313
UK Public Library Count	r=0.87	12yrs	276
Total length of Deep Look YouTube videos	r=0.89	10yrs	266
Popularity of the first name Abby	r=0.77	48yrs	263
Popularity of the first name Gillian	r=0.77	48yrs	263
Popularity of the first name Julia	r=0.74	48yrs	258
GMO use in cotton	r=0.82	23yrs	250
US household spending on floor coverings	r=0.84	23yrs	250
US household spending on vehicle insurance	r=0.84	23yrs	250
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.85	22yrs	248
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.83	22yrs	244
US household spending on books	r=0.8	23yrs	244
US household spending on beef	r=0.79	23yrs	242
US household spending on prescription drugs	r=0.79	23yrs	242
Air pollution in Chicago	r=0.61	44yrs	242
US household spending on fresh milk and cream	r=0.78	23yrs	241
Kerosene used in Burkina Faso	r=0.75	42yrs	234
Physical album shipment volume in the United States	r=0.84	24yrs	231
Popularity of the first name Abbie	r=0.73	48yrs	227
The number of file clerks in Illinois	r=0.83	20yrs	226
Popularity of the first name Seth	r=0.72	48yrs	216
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.82	22yrs	213
US household spending on fish and seafood	r=0.77	23yrs	210
GMO use in corn grown in Illinois	r=0.71	24yrs	208
Solar power generated in Seychelles	r=0.91	8yrs	207
GMO use in cotton	r=0.73	23yrs	206
Annual US household spending on floor coverings	r=0.75	23yrs	206
US household spending on pork	r=0.75	23yrs	206
Popularity of the first name Nathaniel	r=0.71	48yrs	204
US average milk-fat content of frozen dairy products	r=0.82	22yrs	203
Fossil fuel use in Hungary	r=0.72	42yrs	202
US birth rates of triplets or more	r=0.8	20yrs	198
Google searches for 't-rex'	r=0.82	20yrs	196
Viewership count of American Idol Season Finale	r=0.8	21yrs	196
Google searches for 'report UFO sighting'	r=0.77	20yrs	194
Average views of The Game Theorists YouTube videos	r=-0.92	15yrs	194
The number of movies Oscar Isaac appeared in	r=-0.78	28yrs	194
Popularity of the first name Enrique	r=0.71	48yrs	194
Google searches for 'Britney Spears'	r=0.83	16yrs	193
Disney movies released	r=0.74	23yrs	192
Restaurant spending in Illinois	r=-0.86	24yrs	192
The number of human resources assistants in Illinois	r=0.81	20yrs	192
Air quality in Chicago	r=-0.61	44yrs	192
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.81	22yrs	192
Gasoline pumped in Croatia	r=0.82	30yrs	192
U.S. intercountry adoptions	r=0.77	23yrs	190
US Hospital Occupancy Rate	r=0.81	18yrs	190
Popularity of the first name Shayla	r=0.71	48yrs	184
Fossil fuel use in Netherlands Antilles	r=0.71	42yrs	181
Popularity of the first name Brenden	r=0.71	48yrs	174
Fossil fuel use in Slovakia	r=0.78	29yrs	168
GMO use in corn	r=-0.84	24yrs	165
Popularity of the first name Jaqueline	r=0.71	48yrs	164
The number of postal service machine operators in Illinois	r=0.81	20yrs	162
Liquefied petroleum gas used in Greenland	r=0.84	22yrs	158
US household spending on meats, poultry, fish, and eggs	r=0.74	23yrs	155
GMO use in corn grown in Illinois	r=-0.83	24yrs	154
Popularity of the first name Keshawn	r=0.71	48yrs	154
The number of sheet metal workers in Illinois	r=0.8	20yrs	151
Ice cream consumption	r=0.67	32yrs	151
US household spending on clothin for women	r=0.74	23yrs	150
Kerosene used in Nepal	r=0.71	42yrs	148
Popularity of the first name Vanesa	r=0.71	48yrs	144
US household spending on clothing	r=0.73	23yrs	144
GMO use in cotton	r=-0.86	23yrs	143
The number of conveyor operators in Illinois	r=0.8	20yrs	141
US household spending on mortgage interest and charges	r=0.72	23yrs	137
US average dairy skim-solid content of cheese (other than cottage cheese)	r=0.77	22yrs	136
Popularity of the first name Madisen	r=0.78	37yrs	134
US Bottled Water Consumption per Person	r=-0.8	24yrs	131
GMO use in corn grown in Illinois	r=-0.79	24yrs	130
Kerosene used in Indonesia	r=0.7	42yrs	126
US average milk-fat content of cottage cheese	r=0.76	22yrs	124
Popularity of the first name Karla	r=0.7	48yrs	122
Annual US household spending on education	r=-0.89	21yrs	121
GMO use in corn	r=-0.79	24yrs	120
Kerosene used in Malawi	r=0.7	42yrs	116
Popularity of the first name Deven	r=0.7	48yrs	112
Portion of all US dairy skim-solids allocated to the production of evaporated and condensed milk	r=0.75	22yrs	112
Jet fuel used in Cuba	r=0.69	42yrs	105
Popularity of the first name Alize	r=0.78	36yrs	102
Muenster cheese consumption	r=-0.85	27yrs	100
Fossil fuel use in North Macedonia	r=0.74	30yrs	94
Popularity of the first name Nathanial	r=0.7	48yrs	92
Blue cheese consumption	r=-0.82	27yrs	88
Gasoline pumped in Czechia	r=0.76	30yrs	84
Popularity of the first name Reanna	r=0.7	47yrs	82
Gasoline pumped in Denmark	r=0.67	43yrs	73
US average milk-fat content of whey products (net)	r=-0.92	22yrs	72
Popularity of the first name Shamar	r=0.7	48yrs	72
Popularity of the first name Jacquelin	r=0.7	48yrs	62
Nuclear power generation in Germany	r=0.72	31yrs	62
Petroluem consumption in Croatia	r=0.74	30yrs	50
Kerosene used in Eswatini	r=0.7	33yrs	38
Kerosene used in Vietnam	r=0.63	42yrs	26

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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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