StateMaster - Correlations > Economy > GSP > Chain-type Quantity Indexes

	Variable	Strength
...and	Industry > Petroleum & coal products manufacturing > Total capital expenditures	58%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Total cost of materials	57%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Total value of shipments	55%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Value added (per $ GDP)	54%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Production workers wages	52%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Production workers (average per year)	48%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Production workers hours	47%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Total value of shipments (per $ GDP)	46%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Annual payroll	45%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Number of employees	44%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Total cost of materials (per $ GDP)	43%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Value added	42%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary > LEP/ELL Students	33%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary > Total Students- Hispanic	31%	[plot \| correlate \| graph]
...and	People > Total Hispanic Population	30%	[plot \| correlate \| graph]
...and	Industry > Computer & electronic product manufacturing > Total cost of materials	28%	[plot \| correlate \| graph]
...and	Education > Postsecondary > Total Fall Enrollment > Hispanic	26%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per $ GDP)	26%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per $ GDP)	25%	[plot \| correlate \| graph]
...and	Health > Percent with some health care coverage (inverse)	24%	[plot \| correlate \| graph]
...and	Geography > Land area	24%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Total capital expenditures (per $ GDP)	24%	[plot \| correlate \| graph]
...and	Geography > Total area	23%	[plot \| correlate \| graph]
...and	Industry > Computer & electronic product manufacturing > Total capital expenditures	23%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Rail transportation	23%	[plot \| correlate \| graph]
...and	Education > Postsecondary > Degrees Awarded > Hispanic	22%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary Finance > Intermediate Revenues (per capita)	22%	[plot \| correlate \| graph]
...and	People > Population > Change in numbers, 2000-2005	22%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary > Free Lunch Eligible	21%	[plot \| correlate \| graph]
...and	Industry > Computer & electronic product manufacturing > Total value of shipments	21%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per capita)	21%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per capita)	21%	[plot \| correlate \| graph]
...and	Labor > Leather & allied product manufacturing > Number of employees (inverse)	21%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Management of companies and enterprises (per $ GDP)	21%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Rental and leasing services and lessors of intangible assets	20%	[plot \| correlate \| graph]
...and	Military > Total Navy Recruits	20%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Rental and leasing services and lessors of intangible assets	19%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Rental and leasing services and lessors of intangible assets	19%	[plot \| correlate \| graph]
...and	People > Percent of Foreign Population Born in Latin America	18%	[plot \| correlate \| graph]
...and	Energy > Alternative Fuel Vehicles	18%	[plot \| correlate \| graph]
...and	Industry > Chemical manufacturing > Total cost of materials (per $ GDP)	18%	[plot \| correlate \| graph]
...and	Labor > Computer & electronic product manufacturing > Production workers (average per year) (per capita) (inverse)	18%	[plot \| correlate \| graph]
...and	Health > Percent Who Are Immunized (inverse)	17%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary > Reduced-price Lunch Eligible	17%	[plot \| correlate \| graph]
...and	People > Percent of Foreign Population Born in Europe (inverse)	17%	[plot \| correlate \| graph]
...and	Crime > State and Federal prisoners held in local jails	17%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary Finance > Non-Instructional Expend.- Subtotal	16%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Rental and leasing services and lessors of intangible assets (per $ GDP)	16%	[plot \| correlate \| graph]
...and	Health > Health Index (inverse)	16%	[plot \| correlate \| graph]
...and	Military > Total Navy Recruits (per capita)	16%	[plot \| correlate \| graph]
	Average:	28%

About Correlations:

A correlation is a statistical measure of similarity between at least two given sets of data. StateMaster's correlations compare two variables from our database and reveal statistical relationships between them. The percentages you see represent the strength (or likelihood) that a change in the topic variable is matched by a change in the listed variables below it. But remember: These correlations do not imply causation, that is, one does not necessarily cause the other. Also, not all variables contain all states, rather subsets of states matched together.

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Detailed correlation information
Map & Graph: states ranked

NOTES:

Outliers have been removed only where they are outside 3 standard deviations of the mean.
Only variable pairs where at least 15 states match for each have been considered.
Strength is given by the correlation coefficient (R squared). It is the fraction of variation in Y that can be attributed to the variation in X. 100% signifies a perfect fit (R squared of 1). The top 50 such stats are displayed

DEFINITION: Management of companies and enterprises, Chain-type Quantity Indexes (2000 = 100) A quantity index is an index number that measures the change in the level of a quantity from a base year, apart from anychanges in relative prices. The value of the quantity index is 100 for the base year.The Bureau of Economic Analysis uses chain-type annual-weighted indexes, also known as Fisher indexes, as its measure of realoutput and prices. These measures allow for the effects of changes in relative prices and in the composition of output overtime, thereby eliminating a major source of bias inherent in fixed-weight indexes.

SOURCE: U.S. Department of Commerce, Bureau of Economic Analysis, Regional Economic Analysis Division. Data for 2003.

Correlations > Economy Statistics > GSP > Chain-type Quantity Indexes > Management of companies and enterprises

Correlations between Economy > GSP > Chain-type Quantity Indexes > Management of companies and enterprises ...

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