Top variables that correlate with The average age of batters for the Colorado Rockies

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

Variable	Correlation	Years	Has img?
US household spending on beef	r=0.56	23yrs	No

The average age of batters for the Colorado Rockies also correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Clay	r=0.72	30yrs	238
Popularity of the first name Micaela	r=0.7	30yrs	204
Popularity of the first name Mikala	r=0.7	29yrs	204
Customer satisfaction with Verizon	r=0.74	28yrs	202
Google searches for 'how to annex texas'	r=0.77	20yrs	188
Petroluem consumption in Eritrea	r=0.72	28yrs	186
Kerosene used in Dominica	r=0.71	29yrs	185
Low-fat and nonfat ice cream products consumption	r=0.64	29yrs	184
Gasoline pumped in Eritrea	r=0.71	28yrs	184
How provocative MrBeast's YouTube video titles are	r=0.8	12yrs	174
How insightful 'Be Smart' science YouTube video titles are	r=0.81	11yrs	174
Popularity of the first name Raquan	r=0.69	30yrs	173
Air quality in Grand Junction, Colorado	r=0.56	31yrs	169
Bachelor's degrees awarded in Engineering technologies	r=0.78	10yrs	166
How clickbait-y Simone Giertz's YouTube video titles are	r=0.76	10yrs	166
Bachelor's degrees awarded in Business	r=0.77	10yrs	164
Popularity of the first name Celeste	r=0.68	30yrs	162
Google searches for 'is this a wart'	r=0.73	20yrs	162
Carjackings in the US	r=0.62	27yrs	158
The number of movies Tilda Swinton appeared in	r=-0.68	31yrs	158
Processed cheese consumption	r=0.57	27yrs	156
Google searches for 'how do i stop procrastinating'	r=0.69	20yrs	156
Associates degrees awarded in Architecture	r=0.71	11yrs	155
Viewership count for Days of Our Lives	r=0.59	29yrs	153
Popularity of the first name Tamera	r=0.68	30yrs	152
Kerosene used in Mauritius	r=0.69	29yrs	152
The number of movies Ian Holm appeared in	r=0.58	22yrs	152
US household spending on fish and seafood	r=0.61	23yrs	150
US household spending on meats, poultry, fish, and eggs	r=0.6	23yrs	149
The distance between Neptune and Mercury	r=0.51	31yrs	145
Juice ices consumption	r=0.48	29yrs	144
The distance between Neptune and Earth	r=0.5	31yrs	144
The distance between Neptune and the moon	r=0.5	31yrs	144
Air pollution in Steamboat Springs, Colorado	r=0.49	31yrs	144
Total Points Earned by Barracuda Golf Championship Winner	r=0.76	13yrs	143
US household spending on pork	r=0.56	23yrs	143
Popularity of the first name Cherokee	r=0.68	30yrs	142
Kerosene used in South Africa	r=0.69	29yrs	142
Total sales of commercial vehicles in China	r=0.81	7yrs	142
Bloomberg Money Stuff articles about crypto	r=0.64	10yrs	142
US household spending on bakery products	r=0.54	23yrs	140
The number of market research analysts in Colorado	r=0.74	11yrs	138
The number of ophthalmic medical technicians in Colorado	r=0.74	11yrs	138
Viewership of Doctor Who season finale	r=-0.67	30yrs	136
How trendy 3Blue1Brown YouTube video titles are	r=0.76	9yrs	135
Popularity of the first name Alec	r=0.67	30yrs	130
Kerosene used in Belgium	r=0.66	30yrs	128
How clickbait-y MrBeast's YouTube video titles are	r=0.72	12yrs	122
Master's degrees awarded in Engineering technologies	r=0.69	10yrs	122
Popularity of the first name Michaela	r=0.67	30yrs	120
Jet fuel used in Uzbekistan	r=0.66	29yrs	118
Google searches for 'how to immigrate to switzerland'	r=0.72	20yrs	115
Milk consumption	r=0.46	29yrs	113
The distance between Neptune and the Sun	r=0.49	31yrs	112
Bachelor's degrees awarded in Engineering	r=0.68	10yrs	111
Popularity of the first name Alexus	r=0.67	30yrs	110
How good 'Be Smart' science YouTube video titles are	r=0.71	11yrs	110
Kerosene used in South Korea	r=0.65	30yrs	107
Master's degrees awarded in information sciences	r=0.68	10yrs	101
Popularity of the first name Kiana	r=0.67	30yrs	100
Google searches for 'who is prince william'	r=0.7	16yrs	100
How professional-sounding MrBeast's YouTube video titles are	r=0.7	12yrs	99
Popularity of the first name Mikaela	r=0.67	30yrs	90
Master's degrees awarded in consumer sciences	r=0.67	10yrs	90
Electricity generation in Hong Kong	r=-0.76	29yrs	88
How professional-sounding LEMMiNO YouTube video titles are	r=0.69	12yrs	88
Popularity of the first name Idalis	r=0.67	30yrs	80
Fossil fuel use in Hong Kong	r=-0.76	29yrs	78
How cool MrBeast's YouTube video titles are	r=0.69	12yrs	78
Master's degrees awarded in Legal professions and studies	r=0.66	10yrs	78
Popularity of the first name Imani	r=0.66	30yrs	68
How nerdy minutephysics YouTube video titles are	r=0.68	13yrs	67
Bachelor's degrees awarded in Mathematics and statistics	r=0.65	10yrs	66
Biomass power generated in Australia	r=-0.73	29yrs	64
Popularity of the first name Darby	r=0.66	30yrs	58
How nerdy Simone Giertz's YouTube video titles are	r=0.7	10yrs	57
Master's degrees awarded in journalism	r=0.65	10yrs	56
Liquefied petroleum gas used in Romania	r=-0.74	29yrs	52
Popularity of the first name Raekwon	r=0.66	29yrs	48
How fun Simone Giertz's YouTube video titles are	r=0.7	10yrs	47
Fossil fuel use in Sweden	r=0.66	29yrs	40
Popularity of the first name Sabrina	r=0.65	30yrs	37
How cool LEMMiNO YouTube video titles are	r=0.68	12yrs	36
Kerosene used in Cabo Verde	r=0.66	29yrs	28
Popularity of the first name Lexus	r=0.65	30yrs	27
How trendy 'Be Smart' science YouTube video titles are	r=0.68	11yrs	25
Kerosene used in Chile	r=0.64	30yrs	16
How insightful LEMMiNO YouTube video titles are	r=0.67	12yrs	14
Kerosene used in Guinea	r=0.65	29yrs	6
How geeky Simone Giertz's YouTube video titles are	r=0.68	10yrs	4
Popularity of the first name Jefferson	r=-0.72	30yrs	2
Kerosene used in Guyana	r=0.65	29yrs	-4
Average views of MrBeast's YouTube videos	r=0.66	12yrs	-7
Popularity of the first name Malik	r=0.65	30yrs	-13
Kerosene used in Seychelles	r=0.65	29yrs	-14
Jet fuel used in Bosnia and Herzegovina	r=0.64	29yrs	-26
How good MrBeast's YouTube video titles are	r=0.6	12yrs	-26
Liquefied petroleum gas used in Denmark	r=0.63	30yrs	-36
How good LEMMiNO YouTube video titles are	r=0.59	12yrs	-38
Average views of LEMMiNO YouTube videos	r=0.58	12yrs	-49

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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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