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Correlations > Industry Statistics > Paper manufacturing > Total value of shipments

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Correlations between Industry > Paper manufacturing > Total value of shipments ...

Variable Strength
...and  Industry > Paper manufacturing > Total cost of materials 99% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added 98% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing 95% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing 95% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 90% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours 81% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures 81% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll 78% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing 70% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing 67% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing 67% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing 65% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments 63% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials 62% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Production workers wages 59% [plot | correlate | graph]
...and  Crime > Capital Punishment > Total executions since 1930 58% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Number of employees 58% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Value added 57% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers (average per year) 56% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) 54% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees 53% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures 53% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages 52% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 52% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll 51% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Wood product manufacturing 49% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing 49% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 48% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing 48% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 48% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added 47% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll 47% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll 47% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours 47% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 46% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 46% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 46% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food product manufacturing 46% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 45% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages 45% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 44% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 44% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 43% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 43% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 43% [plot | correlate | graph]
...and  Crime > Capital Punishment > Black inmates on death row 43% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Production workers (average per year) 43% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Number of employees 42% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 42% [plot | correlate | graph]
Average: 57%

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: Includes the received or receivable net selling values, “Free on Board� (FOB) plant (exclusive of freight and taxes), of all products shipped, both primary and secondary, as well as all miscellaneous receipts, such as receipts for contract work performed for others, installation and repair, sales of scrap, and sales of products bought and sold without further processing. Included are all items made by or for the establishments from material owned by it, whether sold, transferred to other plants of the same company, or shipped on consignment. The net selling value of products made in one plant on a contract basis from materials owned by another is reported by the plant providing the materials.

SOURCE: Annual Survey of Manufactures, 2004

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