Top variables that correlate with The average age of batters for the Baltimore Orioles

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

Variable	Correlation	Years	Has img?
Google searches for 'snoop dog'	r=0.9	20yrs	No
Google searches for 'panama canal'	r=0.9	20yrs	No
HSBC Holdings' stock price (HSBC)	r=0.9	22yrs	No
US household spending on clothing	r=0.89	23yrs	No

The average age of batters for the Baltimore Orioles also correlates with...

Variable	Correlation	Years	Sys. Score
The number of machinists in Maryland	r=0.91	20yrs	372
US household spending on clothin for women	r=0.89	23yrs	362
US household spending on postage and stationery	r=0.88	23yrs	361
US household spending on clothing for men	r=0.88	23yrs	361
US average milk-fat content of cottage cheese	r=0.86	22yrs	354
Google searches for 'learn spanish'	r=0.9	20yrs	342
Physical album shipment volume in the United States	r=0.87	24yrs	340
The number of brickmasons in Maryland	r=0.89	20yrs	340
The number of retail salespersons in Maryland	r=0.88	20yrs	338
Barclays' stock price (BCS)	r=0.86	22yrs	317
Google searches for 'shook'	r=0.89	20yrs	311
The number of bill collectors in Maryland	r=0.86	20yrs	306
Google searches for 'Panama Canal'	r=0.89	20yrs	301
The number of switchboard operators in Maryland	r=0.86	20yrs	295
Google searches for 'oprah winfrey'	r=0.87	20yrs	288
The number of file clerks in Maryland	r=0.85	20yrs	284
US Motorcycle Manufacturing Industry Revenue	r=0.87	12yrs	276
Popularity of the first name Tyra	r=0.83	48yrs	272
Popularity of the first name Graciela	r=0.78	48yrs	264
Popularity of the first name Serina	r=0.75	48yrs	260
Total value of all $1 bills printed	r=0.77	33yrs	254
GMO use in cotton	r=0.79	23yrs	246
US household spending on fresh milk and cream	r=0.81	23yrs	246
US household spending on floor coverings	r=0.81	23yrs	246
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.83	22yrs	244
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.83	22yrs	244
Air pollution in Salisbury, Maryland	r=0.67	40yrs	244
US household spending on mortgage interest and charges	r=0.79	23yrs	242
Fossil fuel use in Hungary	r=0.75	42yrs	237
Gasoline pumped in Denmark	r=0.76	43yrs	236
Gasoline pumped in Slovenia	r=0.84	31yrs	236
US Employment Rate	r=0.8	33yrs	234
Popularity of the first name Tatyana	r=0.74	47yrs	228
U.S. intercountry adoptions	r=0.81	23yrs	226
NBA Season MVP's Age	r=0.75	32yrs	226
Popularity of the first name Karla	r=0.73	48yrs	217
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.82	22yrs	213
General Electric's stock price (GE)	r=0.84	22yrs	212
US household spending on books	r=0.78	23yrs	211
Global Per Capita Rice Consumption	r=0.78	20yrs	208
GMO use in cotton	r=0.74	23yrs	208
Popularity of the first name Lexus	r=0.83	33yrs	207
US household spending on prescription drugs	r=0.74	23yrs	205
The marriage rate in Maryland	r=0.8	23yrs	204
US household spending on shoes	r=0.73	23yrs	204
US average milk-fat content of frozen dairy products	r=0.82	22yrs	203
Nuclear power generation in Germany	r=0.79	31yrs	202
Popularity of the first name Nathanial	r=0.73	48yrs	197
Gasoline pumped in Croatia	r=0.8	30yrs	190
Popularity of the first name Josef	r=0.73	48yrs	187
Jet fuel used in Cuba	r=0.72	42yrs	180
Deutsche Bank Aktiengesellschaft's stock price (DB)	r=0.84	22yrs	179
Popularity of the first name Guadalupe	r=0.72	48yrs	176
US production of cottage cheese	r=0.8	22yrs	173
Google searches for 'black holes'	r=0.85	20yrs	170
Kerosene used in Malawi	r=0.72	42yrs	170
The number of data entry keyers in Maryland	r=0.85	20yrs	168
Lloyds Banking Group's stock price (LYG)	r=0.83	22yrs	168
Popularity of the first name Luz	r=0.72	48yrs	166
US dairy skim solids used to produce cottage cheese	r=0.8	22yrs	162
Kerosene used in Seychelles	r=0.72	42yrs	160
The number of postmasters in Maryland	r=0.84	20yrs	157
Popularity of the first name Madisen	r=0.8	37yrs	156
Citigroup's stock price (C)	r=0.81	22yrs	154
Fossil fuel use in Slovakia	r=0.78	29yrs	148
The number of receptionists in Maryland	r=0.83	20yrs	147
Popularity of the first name Makala	r=0.72	48yrs	146
Sherbet consumption	r=0.69	32yrs	144
AIG's stock price (AIG)	r=0.81	22yrs	144
Gasoline pumped in Italy	r=0.7	43yrs	138
Popularity of the first name Garett	r=0.72	48yrs	136
The number of photographers in Maryland	r=0.83	20yrs	136
UBS Group AG's stock price (UBS)	r=0.8	22yrs	133
Ice cream consumption	r=0.68	32yrs	132
Popularity of the first name Dajah	r=0.83	32yrs	126
The number of drywall and ceiling tile installers in Maryland	r=0.83	20yrs	126
Fossil fuel use in Denmark	r=0.68	42yrs	126
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.78	22yrs	117
Popularity of the first name Malique	r=0.82	34yrs	116
The number of automotive service technicians and mechanics in Maryland	r=0.83	20yrs	116
Jet fuel used in Saint Vincent/Grenadines	r=0.82	24yrs	116
The number of maintenance and repair workers in Maryland	r=0.83	20yrs	106
Kerosene used in Tonga	r=0.7	42yrs	106
Popularity of the first name Nautica	r=0.83	31yrs	105
Hispanic cheese consumption	r=-0.89	26yrs	104
Jet fuel used in Uzbekistan	r=0.78	30yrs	96
Popularity of the first name Brendan	r=0.71	48yrs	94
The number of pipelayers in Maryland	r=0.82	20yrs	94
Fossil fuel use in Greenland	r=0.67	42yrs	85
Popularity of the first name Armando	r=0.71	48yrs	84
Kerosene used in Indonesia	r=0.69	42yrs	75
Popularity of the first name Keely	r=0.71	48yrs	74
Petroluem consumption in Japan	r=0.65	48yrs	65
Popularity of the first name Gillian	r=0.71	48yrs	64
Kerosene used in Japan	r=0.68	43yrs	54
Fossil fuel use in North Macedonia	r=0.73	30yrs	42
Kerosene used in Dominica	r=0.67	42yrs	32

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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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