Top variables that correlate with Points scored by the Arizona Cardinals

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Data source: Pro-Football-Reference.com
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Points scored by the Arizona Cardinals correlates with...

Variable	Correlation	Years	Has img?
The number of special education teachers in Arizona	r=0.78	11yrs	No
Jet fuel used in Gibraltar	r=0.72	28yrs	No
Fossil fuel use in Benin	r=0.67	28yrs	No
The number of movies Idris Elba appeared in	r=0.65	28yrs	No

Points scored by the Arizona Cardinals also correlates with...

Variable	Correlation	Years	Sys. Score
Fossil fuel use in Dominica	r=0.68	28yrs	182
The number of movies Amy Poehler appeared in	r=0.64	28yrs	182
Electricity generation in Benin	r=0.67	28yrs	181
Popularity of the first name Sadie	r=0.64	29yrs	174
Popularity of the first name Alina	r=0.64	29yrs	174
Popularity of the first name Joaquin	r=0.64	29yrs	174
Air quality in Flagstaff, Arizona	r=0.58	30yrs	171
Yogurt consumption	r=0.55	28yrs	154
Average views of PBS Space Time YouTube videos	r=0.69	9yrs	154
How professional-sounding Deep Look YouTube video titles are	r=0.68	10yrs	154
The number of security guards in Arizona	r=0.68	20yrs	153
Number of public school students in 11th grade	r=0.56	29yrs	152
Milk-fat consumption	r=0.52	28yrs	150
Cream and Neufchatel cheese consumption	r=0.53	27yrs	150
The number of movies Jeremy Renner appeared in	r=0.52	29yrs	150
US Annual Tax Revenue	r=0.6	28yrs	149
Number of public school students in 12th grade	r=0.54	29yrs	149
Number of highschoolers in the US	r=0.53	29yrs	148
Air quality in Prescott, Arizona	r=0.52	30yrs	147
Popularity of the first name Valentin	r=0.64	29yrs	144
US Bottled Water Consumption per Person	r=0.52	24yrs	144
How fun AsapSCIENCE YouTube video titles are	r=0.6	12yrs	144
GMO use in soybeans	r=0.52	23yrs	143
GMO use in soybeans	r=0.52	23yrs	143
Annual US household spending on utilities	r=0.55	23yrs	142
Fossil fuel use in Honduras	r=0.67	28yrs	141
Air pollution in Phoenix	r=0.46	30yrs	141
Javier Mascherano's International Match Count	r=0.75	14yrs	140
US per-person consumption of bottled water	r=0.52	24yrs	138
GMO use in corn	r=0.48	24yrs	138
Annual US household spending on electricity	r=0.53	23yrs	138
The number of social workers in Arizona	r=0.72	13yrs	137
Annual US household spending on other household products	r=0.52	23yrs	137
Viewership of Doctor Who season finale	r=0.56	29yrs	136
Annual US household spending on housing	r=0.51	23yrs	136
Annual US household spending on entertainment	r=0.51	23yrs	136
Number of internet users	r=0.62	23yrs	135
Nielsen Ranking of Smallville Season Finale	r=0.71	10yrs	134
Annual US household spending on telephone services	r=0.5	23yrs	134
Annual US household spending on housekeeping supplies	r=0.5	23yrs	134
Annual US household spending on small appliances	r=0.5	23yrs	134
Popularity of the first name Julius	r=0.63	29yrs	133
Sales of Top-Selling Comic Book to North American Comics Shops	r=0.59	23yrs	132
Annual US household spending on property taxes	r=0.49	23yrs	132
Annual US household spending on pets, toys, and hobbies	r=0.49	23yrs	132
Gender pay gap in the U.S.	r=0.56	28yrs	131
Popularity of the first name Marlee	r=0.63	29yrs	123
Number of public school students in 10th grade	r=0.52	29yrs	116
Butter consumption	r=0.49	28yrs	115
Popularity of the first name Sienna	r=0.62	29yrs	112
The number of movies Kristen Wiig appeared in	r=0.5	24yrs	112
Renewable energy production in Bhutan	r=0.65	28yrs	108
GMO use in cotton	r=0.51	23yrs	108
How provocative Technology Connections YouTube video titles are	r=0.64	9yrs	107
Italian-type cheese consumption	r=0.49	27yrs	104
The number of movies Sung Kang appeared in	r=0.49	25yrs	102
Popularity of the first name Ruby	r=0.6	29yrs	98
Hydopower energy generated in Bhutan	r=0.65	28yrs	98
US kids in public school	r=0.45	29yrs	96
Hispanic cheese consumption	r=0.5	26yrs	94
How trendy LockPickingLawyer YouTube video titles are	r=0.62	9yrs	94
GMO use in cotton	r=0.47	23yrs	92
Popularity of the first name Marley	r=0.6	29yrs	88
The number of movies Alicia Vikander appeared in	r=0.48	21yrs	86
Electricity generation in Dominica	r=0.63	28yrs	85
US average milk-fat content of sour cream	r=0.58	22yrs	82
Annual US household spending on dairy products	r=0.48	23yrs	81
Total views on PBS Space Time YouTube videos	r=0.6	9yrs	81
Popularity of the first name Callie	r=0.59	29yrs	77
US household spending on pets, toys, and hobbies	r=0.48	23yrs	76
Electricity generation in El Salvador	r=0.63	28yrs	75
US average milk-fat content of cream products	r=0.75	7yrs	72
Popularity of the first name Rayna	r=0.59	29yrs	67
Biomass power generated in Peru	r=0.63	28yrs	65
Mozzarella cheese consumption	r=0.48	27yrs	62
Popularity of the first name Amaris	r=0.59	29yrs	57
Fossil fuel use in Somalia	r=0.62	28yrs	54
American cheese consumption	r=0.46	28yrs	50
Popularity of the first name Jefferson	r=0.58	29yrs	46
Gasoline pumped in Cameroon	r=0.64	28yrs	44
Popularity of the first name Chaim	r=0.58	29yrs	36
Natural cheese consumption	r=0.48	27yrs	35
Liquefied petroleum gas used in Malta	r=0.64	28yrs	34
US average dairy skim-solid content of fluid beverage milk	r=0.51	22yrs	22
Renewable energy production in Central African Republic	r=0.6	28yrs	20
Hydopower energy generated in Central African Republic	r=0.6	28yrs	10
Popularity of the first name Cooper	r=0.57	29yrs	9
Electricity generation in Saint Vincent/Grenadines	r=0.6	28yrs	0
Popularity of the first name Gianna	r=0.57	29yrs	-1
Electricity generation in Somalia	r=0.6	28yrs	-10
Popularity of the first name Isaias	r=0.57	29yrs	-11
Popularity of the first name Grady	r=0.57	29yrs	-21
Biomass power generated in Australia	r=0.59	28yrs	-21
Popularity of the first name Eliezer	r=0.57	29yrs	-31
Biomass power generated in Poland	r=0.59	28yrs	-31
Electricity generation in Turkiye	r=0.59	28yrs	-41
Popularity of the first name Wyatt	r=0.56	29yrs	-42

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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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