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Correlations > Labor Statistics > Paper manufacturing > Production workers hours

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Correlations between Labor > Paper manufacturing > Production workers hours ...

Variable Strength
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 87% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials 84% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments 81% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing 79% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing 79% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added 76% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing 76% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing 76% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments 73% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures 71% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Value added 70% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 70% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials 69% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll 67% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers (average per year) 65% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing 64% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 63% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 63% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 63% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Number of employees 63% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 62% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 61% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll 61% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 60% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 59% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing 59% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 59% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages 59% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 59% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 59% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 58% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures 58% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 57% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Production workers (average per year) 56% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 56% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Production workers wages 55% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 55% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Total cost of materials 55% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food product manufacturing 55% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 55% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 55% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 55% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 54% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 54% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Production workers wages 54% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 53% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 53% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 53% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll 53% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 53% [plot | correlate | graph]
Average: 63%

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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