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Correlations > Labor Statistics > Primary metal manufacturing > Production workers hours

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Correlations between Labor > Primary metal manufacturing > Production workers hours ...

Variable Strength
...and  Labor > Primary metal manufacturing > Production workers (average per year) 98% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Primary metal manufacturing 97% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages 97% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing 95% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing 95% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added 94% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments 94% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures 93% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials 90% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll 88% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 70% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 69% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing 69% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing 69% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Motor vehicle, body, trailer, and parts manufacturing 66% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 66% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours 66% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 66% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages 65% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 63% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 63% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 62% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 62% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 62% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) 61% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 61% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 60% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 60% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees 60% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 60% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 60% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 60% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) 59% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added 59% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 59% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments 58% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 57% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages 57% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 57% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 57% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 57% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours 56% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 56% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 55% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total capital expenditures 55% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 55% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials 55% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 55% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 55% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 55% [plot | correlate | graph]
Average: 67%

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: This item covers all hours worked or paid for at the manufacturing plant, including actual overtime hours (not straight-time equivalent hours). It excludes hours paid for vacations, holidays, or sick leave when the employee is not at the establishment.

SOURCE: Annual Survey of Manufactures, 2004

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