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Correlations > Economy Statistics > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing

VIEW DATA:   Totals   Per capita   Per $ GDP  
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Correlations between Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing ...

Variable Strength
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing 100% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Motor vehicle, body, trailer, and parts manufacturing 91% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials 89% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages 88% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments 88% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours 85% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total capital expenditures 79% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added 78% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing 77% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing 77% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials 76% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Primary metal manufacturing 75% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing 73% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures 72% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments 72% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Number of employees 71% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll 70% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages 69% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours 69% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) 67% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 67% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 67% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 66% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 66% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing (per capita) 66% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 62% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added 61% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll 60% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 58% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 58% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 58% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 57% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 57% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 56% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 55% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 54% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 52% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 51% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 51% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 50% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 50% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages (per $ GDP) 50% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 49% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours (per capita) 49% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 48% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Primary metal manufacturing 48% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 48% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 48% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments (per $ GDP) 48% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > NOx 48% [plot | correlate | graph]
Average: 65%

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.

VIEW FOR THIS VARIABLE:

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, Nominal GSP (current dollars) GSP, or Gross State Product is the value of all the goods and services produced in a state. Specific industries measured will give the value of all goods and services in that industry. The Nominal Gross State Product measures the value of all the goods and services produced expressed in current prices. On the other hand, Real Gross State Product measures the value of all the goods and services produced expressed in the prices of some base year.

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

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