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Correlations > Economy Statistics > GSP > Chain-type Quantity Indexes > Motor vehicle, body, trailer, and parts manufacturing

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Correlations between Economy > GSP > Chain-type Quantity Indexes > Motor vehicle, body, trailer, and parts manufacturing ...

Variable Strength
...and  Labor > Textile product mills > Production workers (average per year) 31% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) (per capita) 30% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours 27% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers (average per year) 27% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments 27% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll 26% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) 25% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Number of employees 23% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Accommodation 23% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Wholesale trade 22% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages (per $ GDP) 22% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per capita) 22% [plot | correlate | graph]
...and  Energy > Total Renewable Energy Produced (per capita) 21% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per capita) 21% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages 21% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers hours 20% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (per capita) 20% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Production workers wages 19% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments (per $ GDP) 19% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials (per $ GDP) 19% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Forestry, fishing, and related activities (inverse) 18% [plot | correlate | graph]
...and  Energy > Total Renewable Energy Produced (per $ GDP) 18% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per $ GDP) 18% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added (per $ GDP) 18% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total value of shipments (per $ GDP) 18% [plot | correlate | graph]
...and  Industry > Industrial firms > Percent over 500 employess 18% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Wood product manufacturing (inverse) 17% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials 17% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials (per $ GDP) 17% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll 17% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures (per $ GDP) 17% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total cost of materials 16% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Production workers hours (per capita) 15% [plot | correlate | graph]
...and  Industry > Industrial firms > Percent over 100 employess 15% [plot | correlate | graph]
...and  People > Total Native Americans (inverse) 15% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total value of shipments 15% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > State and local 15% [plot | correlate | graph]
...and  Health > Change in Number with Medicaid (inverse) 14% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Total capital expenditures (per $ GDP) (inverse) 14% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Utilities (per $ GDP) 14% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures (per $ GDP) 14% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Mining, except oil and gas 13% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Performing arts, museums, and related activities (per capita) 13% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Oil and gas extraction (per capita) 13% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees 13% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Oil and gas extraction (per capita) 13% [plot | correlate | graph]
...and  Economy > Personal income (per $ GDP) (inverse) 13% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Oil and gas extraction (per capita) 13% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per capita) 13% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Management of companies and enterprises (per capita) (inverse) 13% [plot | correlate | graph]
Average: 18%

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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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: Motor vehicle, body, trailer, and parts manufacturing, 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.

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