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Correlations > Economy Statistics > GSP > Compensation of Employees > Wood product manufacturing

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Correlations between Economy > GSP > Compensation of Employees > Wood product manufacturing ...

Variable Strength
...and  Economy > GSP > Real GSP > Wood product manufacturing 98% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing 98% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll 96% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages 96% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) 96% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added 96% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments 94% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours 91% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials 90% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees 86% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing 78% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities 59% [plot | correlate | graph]
...and  Military > DOD Inactive Military Employees > Salaries & Wages 56% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 54% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total capital expenditures 53% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 53% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 53% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added 53% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 53% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 52% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 52% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials 52% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 52% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 52% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 51% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 51% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 50% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 50% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 50% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 49% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments 49% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 49% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 49% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 49% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 49% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total capital expenditures 48% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers hours 48% [plot | correlate | graph]
...and  Health > Total State Health Care Spending 48% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll 48% [plot | correlate | graph]
...and  Health > Total Medicaid Spending, FY2004 48% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Number of employees 48% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 48% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Forestry, fishing, and related activities 47% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Forestry, fishing, and related activities 47% [plot | correlate | graph]
...and  Energy > Total Energy Consumption 47% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 47% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 47% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 47% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing 46% [plot | correlate | graph]
Average: 59%

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: Wood product manufacturing, Compensation of Employees (current dollars) Compensation of Employees is a statisical term which refers to the total gross (pre-tax) wages paid by employers to employeesfor work done in an accounting period, such as a quarter or a year. It represents roughly the total labor cost to an employer.

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