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Correlations > Industry Statistics > Beverage & tobacco product manufacturing > Total cost of materials

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Correlations between Industry > Beverage & tobacco product manufacturing > Total cost of materials ...

Variable Strength
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages 74% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 71% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 71% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures 71% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours 69% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military 68% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 67% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military 65% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military 65% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added 65% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Federal military 64% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages 60% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing 58% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) 57% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll 55% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP) 54% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Information and data processing services 54% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees 52% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 51% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Information and data processing services 51% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Information and data processing services 51% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers (average per year) 51% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees 50% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Information and data processing services 49% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 48% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 48% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Number of employees 47% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total cost of materials 47% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 46% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 46% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 46% [plot | correlate | graph]
...and  Health > Number of Infant Deaths 45% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Staff 45% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 45% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 45% [plot | correlate | graph]
...and  Health > Total Physician Assistants 45% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours 44% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 44% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 44% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers hours 44% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 43% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages 43% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 43% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 43% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Black, Non-Hispanic 43% [plot | correlate | graph]
...and  Health > Number of Births of Low Birthweight 43% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal Reserve banks, credit intermediation and related services 43% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 43% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Kindergarten Students 43% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Black, non-Hispanic 42% [plot | correlate | graph]
Average: 52%

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 term refers to direct charges actually paid or payable for items consumed or put into production during the year, including freight charges and other direct charges incurred by the establishment in acquiring these materials. It includes the cost of materials or fuel consumed, whether purchased by the individual establishment from other companies, transferred to it from other establishments of the same company, or withdrawn from inventory during the year.

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