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Correlations > Industry Statistics > Transportation equipment manufacturing > Total capital expenditures

VIEW DATA:   Totals   Per $ GDP  
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Showing latest available data.

Correlations between Industry > Transportation equipment manufacturing > Total capital expenditures ...

Variable Strength
...and  Labor > Transportation equipment manufacturing > Production workers hours 84% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages 83% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments 79% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Number of employees 79% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing 79% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing 79% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials 77% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added 76% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll 73% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Motor vehicle, body, trailer, and parts manufacturing 69% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing 65% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing 65% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Primary metal manufacturing 63% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials 62% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total capital expenditures (per $ GDP) 61% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 61% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments 58% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 58% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures 57% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 57% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages 57% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours 56% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) 55% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 55% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 54% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 53% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 53% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 53% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 52% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 52% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 52% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 51% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 51% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours (per capita) 50% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages (per $ GDP) 50% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added 50% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 49% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 49% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 48% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing 48% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Number of employees (per capita) 47% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added (per $ GDP) 46% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 46% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours 46% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 46% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments (per $ GDP) 46% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll (per $ GDP) 45% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 44% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 44% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 44% [plot | correlate | graph]
Average: 58%

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: Represents the total new and used capital expenditures reported by establishments in operation and any known plants under construction.

SOURCE: Annual Survey of Manufactures, 2004

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