Top variables that correlate with Runs scored by the Los Angeles Angels

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Data source: Baseball-Reference.com
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Runs scored by the Los Angeles Angels correlates with...

Variable	Correlation	Years	Sys. Score
Liquefied petroleum gas used in Central African Republic	r=0.88	14yrs	300
Associates degrees awarded in Dental assisting	r=0.85	11yrs	296
Air quality in Crescent City, California	r=0.7	36yrs	245
Total Runs Scored by Chicago Cubs Team in National League (Central and East Division)	r=0.72	48yrs	237
New York Yankees' victories	r=0.65	48yrs	226
British Open Golf Championship winner's score	r=0.61	48yrs	220
Air pollution in Crescent City, California	r=-0.75	29yrs	188
Number of games won by Miami Marlins in the National League (East Division)	r=0.69	30yrs	184
Movie ticket sales in the U.S. and Canada by year	r=0.57	43yrs	180
Visitors to SeaWorld California	r=0.84	15yrs	176
Popularity of the first name Tristin	r=0.49	48yrs	171
Popularity of the first name Triston	r=0.49	48yrs	171
Air quality in Crescent City, California	r=0.54	36yrs	171
Google searches for 'where to buy toilet paper'	r=-0.88	20yrs	170
Popularity of the first name Quentin	r=0.48	48yrs	170
Google searches for 'how to cut own hair'	r=-0.85	20yrs	168
Google searches for 'n95 mask'	r=-0.87	19yrs	168
The marriage rate in California	r=0.73	23yrs	164
How cool Technology Connections YouTube video titles are	r=0.75	9yrs	164
Total annual cinema attendance in the UK	r=0.72	22yrs	161
How professional-sounding Computerphile YouTube video titles are	r=0.71	11yrs	160
Miss World's Age	r=0.52	48yrs	157
The number of movies Brendan Gleeson appeared in	r=0.53	34yrs	157
Home Run Count for the Texas Rangers Team	r=0.51	48yrs	156
Brick cheese consumption	r=0.54	27yrs	152
US household spending on clothing	r=0.62	23yrs	152
How professional-sounding Technology Connections YouTube video titles are	r=0.67	9yrs	152
US household spending on clothing for men	r=0.61	23yrs	150
US household spending on clothin for women	r=0.61	23yrs	150
US household spending on shoes	r=0.61	23yrs	150
US household spending on personal care products and services	r=0.61	23yrs	150
Annual US household spending on clothin for women	r=0.6	23yrs	149
The number of movies Jonah Hill appeared in	r=0.57	20yrs	149
US household spending on food	r=0.59	23yrs	148
US household spending on alcoholic beverages	r=0.58	23yrs	146
Number of articles Matt Levine published on Bloomberg on Wednesdays	r=0.65	10yrs	144
Popularity of the first name Nathanael	r=0.48	48yrs	140
Annual US household spending on clothing	r=0.54	23yrs	140
GMO use in cotton	r=0.5	23yrs	137
US household spending on public transportation	r=0.52	23yrs	137
US average milk-fat content of cottage cheese	r=0.54	22yrs	136
The number of retail salespersons in California	r=0.67	20yrs	136
Load Factor of US Carrier Flights	r=0.52	20yrs	134
US Tobacco Production	r=0.63	23yrs	134
Fossil fuel use in Czechia	r=0.58	29yrs	134
Global Per Capita Rice Consumption	r=0.49	20yrs	130
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.5	22yrs	130
Gasoline pumped in Croatia	r=0.57	30yrs	130
Number of Miss World delegates	r=0.54	47yrs	129
Popularity of the first name Natalie	r=0.47	48yrs	128
NCAA Women's Ice Hockey National Championship Winner's Score	r=0.6	22yrs	128
Air pollution in Santa Cruz, California	r=-0.61	41yrs	126
The number of human resources assistants in California	r=0.6	20yrs	126
US birth rates of triplets or more	r=0.54	20yrs	124
The number of motorcycle mechanics in California	r=0.59	20yrs	124
Number of Female Editors on Harvard Law Review	r=0.66	10yrs	122
Drenching rain in San Jose	r=0.5	29yrs	122
Popularity of the first name Tristen	r=0.47	48yrs	118
The number of movies Matt Damon appeared in	r=0.46	36yrs	118
How professional-sounding Vihart's YouTube video titles are	r=0.59	15yrs	116
Air pollution in Crescent City, California	r=-0.79	22yrs	115
Popularity of the first name Keeley	r=0.47	48yrs	108
Air pollution in Ukiah, California	r=-0.78	20yrs	102
Gasoline pumped in Ireland	r=0.48	43yrs	100
LeBron James' field goal count	r=0.67	20yrs	96
The number of first-line retail sales supervisors in California	r=0.63	13yrs	94
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.45	22yrs	92
US household spending on postage and stationery	r=0.51	23yrs	86
Petroluem consumption in Croatia	r=0.54	30yrs	86
How professional-sounding LockPickingLawyer YouTube video titles are	r=0.55	9yrs	84
The number of athletes and sports competitors in California	r=0.58	20yrs	83
Popularity of the first name Nathaniel	r=0.46	48yrs	82
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.45	22yrs	82
The number of movies Adam Driver appeared in	r=0.49	14yrs	81
US household spending on tobacco products and smoking supplies	r=0.49	23yrs	77
Number of Grand Slam Finals played by Roger Federer	r=0.64	13yrs	76
Petroluem consumption in Wake Island	r=0.46	42yrs	76
The number of laundry and dry-cleaning workers in California	r=0.58	20yrs	73
How nerdy Numberphile YouTube video titles are	r=0.52	13yrs	73
Popularity of the first name Brock	r=0.46	48yrs	72
Annual US household spending on clothing for men	r=0.48	23yrs	71
Air pollution in Salinas, California	r=-0.55	41yrs	70
US household spending on fresh milk and cream	r=0.47	23yrs	65
Fossil fuel use in Germany	r=0.51	31yrs	65
How geeky Deep Look YouTube video titles are	r=0.54	10yrs	63
Assist Tackle Count by Champ Bailey in a Given Year	r=0.62	15yrs	61
US household spending on mortgage interest and charges	r=0.47	23yrs	60
Popularity of the first name Alize	r=0.51	36yrs	57
US household spending on laundry and cleaning supplies	r=0.47	23yrs	55
Air pollution in Crescent City, California	r=-0.54	36yrs	54
Gasoline pumped in Czechia	r=0.52	30yrs	52
How nerdy OverSimplified YouTube video titles are	r=0.55	7yrs	52
US household spending on prescription drugs	r=0.47	23yrs	50
Popularity of the first name Daijah	r=0.53	33yrs	47
How insightful Technology Connections YouTube video titles are	r=0.54	9yrs	42
US household spending on processed vegetables	r=-0.7	23yrs	39
Popularity of the first name Jaylan	r=0.52	34yrs	36
Popularity of the first name Caylin	r=0.46	42yrs	26
Popularity of the first name Malique	r=0.49	34yrs	12
Popularity of the first name Shaniah	r=0.48	33yrs	0
Popularity of the first name Frankie	r=-0.49	48yrs	-24

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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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