Top variables that correlate with Air pollution in Iron Mountain, Michigan

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Data source: Environmental Protection Agency
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Air pollution in Iron Mountain, Michigan correlates with...

Variable	Correlation	Years	Sys. Score
Jet fuel used in Georgia	r=0.84	10yrs	150
Automotive recalls issued by Harley-Davidson Motor Company	r=0.61	15yrs	147
Customer satisfaction with Sam's Club	r=0.74	6yrs	144
Gasoline pumped in Tajikistan	r=0.8	10yrs	144
Liquefied petroleum gas used in Kuwait	r=0.75	15yrs	142
The number of movies Ryan Reynolds appeared in	r=0.85	9yrs	140
Michael Schumacher's Formula One Ranking	r=0.75	10yrs	136
British Open Golf Championship winner's score	r=0.7	15yrs	136
Academy Award Best Supporting Actress Winner Age	r=0.65	15yrs	133
England's performance in Cricket World Cups	r=0.64	15yrs	124
Runner-up Points in Men's NCAA Cross Country Championships	r=0.61	15yrs	122
The number of movies Michelle Pfeiffer appeared in	r=0.68	15yrs	120
Hot days in Detroit	r=0.69	7yrs	118
The number of movies Jamie Foxx appeared in	r=0.7	10yrs	118
Automotive recalls for issues with the Air Bags	r=0.49	12yrs	112
Kerosene used in Greece	r=0.74	15yrs	110
Average temperature in Perth	r=0.61	9yrs	108
Popularity of the first name Ulysses	r=0.65	15yrs	107
Total value of all $20 bills printed	r=0.61	12yrs	104
Customer satisfaction with Dillard's	r=-0.76	8yrs	102
Popularity of the first name Brant	r=0.6	15yrs	100
The number of books by Stephen King published	r=0.49	15yrs	99
Rain in Sydney	r=0.55	9yrs	99
Gasoline pumped in Georgia	r=0.75	10yrs	97
Median US Household Income	r=0.52	12yrs	96
Popularity of the first name Elisha	r=0.55	15yrs	92
NBA Season MVP's Age	r=0.49	11yrs	90
The number of movies Lucy Liu appeared in	r=0.7	10yrs	88
Hydopower energy generated in Dominican Republic	r=0.69	15yrs	86
American cheese consumption	r=0.53	12yrs	85
The number of movies Ralph Fiennes appeared in	r=0.68	12yrs	78
Number of public school students in 3rd grade	r=0.51	12yrs	78
Cheddar cheese consumption	r=0.51	7yrs	77
Ice cream consumption	r=0.47	12yrs	76
Customer satisfaction with Walmart	r=-0.6	8yrs	76
Liquefied petroleum gas used in Georgia	r=0.73	10yrs	74
Number of public school students in 4th grade	r=0.49	12yrs	74
Violent crime rates	r=-0.46	15yrs	74
The distance between Neptune and Uranus	r=0.47	15yrs	73
Number of public school students in 12th grade	r=0.47	12yrs	72
Automotive recalls for issues with the Child Seat	r=-0.5	15yrs	71
Total number of live births in Australia	r=-0.59	15yrs	70
Points scored by the Detroit Lions	r=-0.47	15yrs	68
The number of movies Jeff Bridges appeared in	r=0.66	15yrs	68
Hot days in Perth	r=0.54	9yrs	68
Customer satisfaction with Nordstrom	r=-0.49	8yrs	64
Popularity of the first name Tyson	r=0.54	15yrs	60
Petroluem consumption in Tajikistan	r=0.69	10yrs	58
NASA's budget as a percentage of the total US Federal Budget	r=-0.46	15yrs	53
The number of movies Tom Cruise appeared in	r=0.62	15yrs	52
The distance between Jupiter and Venus	r=-0.58	15yrs	50
The distance between Jupiter and the Sun	r=-0.57	15yrs	49
Popularity of the first name Nina	r=0.53	15yrs	49
Kerosene used in Germany	r=0.65	11yrs	43
American-type cheese consumption	r=0.46	7yrs	40
The number of movies Paul Walker appeared in	r=0.61	15yrs	40
Popularity of the first name Lizette	r=0.53	15yrs	39
Fossil fuel use in Norway	r=0.6	15yrs	32
Tickets Sold for the Top Movie of the Year	r=0.65	7yrs	28
Popularity of the first name Kate	r=0.52	15yrs	28
Final Match Score Difference in the Volkswagen Challenger Set	r=-0.62	9yrs	27
Liquefied petroleum gas used in Cambodia	r=0.74	7yrs	22
The number of movies Reese Witherspoon appeared in	r=0.62	11yrs	18
The distance between Jupiter and Earth	r=-0.52	15yrs	14
Popularity of the first name Jailene	r=0.59	10yrs	13
Biomass power generated in Thailand	r=0.71	7yrs	11
The number of movies Will Smith appeared in	r=0.62	12yrs	8
The distance between Jupiter and the moon	r=-0.52	15yrs	4
Kerosene used in United States	r=0.6	15yrs	0
Popularity of the first name Shaniah	r=0.55	12yrs	-1
Muenster cheese consumption	r=-0.53	7yrs	-6
Jet fuel used in Burkina Faso	r=0.59	15yrs	-12
Popularity of the first name Nautica	r=0.53	10yrs	-16
The distance between Jupiter and Mercury	r=-0.5	15yrs	-18
Liquefied petroleum gas used in Malta	r=0.59	15yrs	-22
The number of movies Kirsten Dunst appeared in	r=0.53	13yrs	-24
Popularity of the first name Lisette	r=0.49	15yrs	-27
The number of movies John Noble appeared in	r=0.52	14yrs	-34
Liquefied petroleum gas used in Qatar	r=0.57	15yrs	-35
Popularity of the first name Lauryn	r=0.48	15yrs	-38
The number of movies Catherine Zeta-Jones appeared in	r=0.54	12yrs	-44
Biomass power generated in Paraguay	r=0.54	15yrs	-46
Popularity of the first name Ben	r=0.48	15yrs	-48
Biomass power generated in Japan	r=0.53	15yrs	-58
The number of movies Nicole Kidman appeared in	r=0.47	15yrs	-61
Popularity of the first name Leslie	r=0.45	15yrs	-63
Liquefied petroleum gas used in Haiti	r=0.55	15yrs	-68
The number of movies Cate Blanchett appeared in	r=0.47	12yrs	-74
Popularity of the first name Desirae	r=-0.68	15yrs	-82
Kerosene used in Eritrea	r=0.63	8yrs	-83
The number of movies Brendan Gleeson appeared in	r=0.45	12yrs	-87
Popularity of the first name Deandre	r=-0.67	15yrs	-94
The number of movies Hugh Jackman appeared in	r=0.47	7yrs	-99
Popularity of the first name Salvador	r=-0.66	15yrs	-104
The number of movies Rachel Weisz appeared in	r=0.46	8yrs	-110
Popularity of the first name Araceli	r=-0.66	15yrs	-114
Popularity of the first name Jourdan	r=-0.67	15yrs	-124
The number of films in Sylvester Stallone's filmography	r=-0.53	15yrs	-126
Popularity of the first name Maritza	r=-0.65	15yrs	-136

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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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