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Correlations > Economy Statistics > GSP > Chain-type Quantity Indexes > Waste management and remediation services

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Correlations between Economy > GSP > Chain-type Quantity Indexes > Waste management and remediation services ...

Variable Strength
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures (per $ GDP) 28% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Fabricated metal product manufacturing 22% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Other transportation and support activities 22% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total cost of materials (per $ GDP) 20% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) 20% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) 19% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (per capita) 18% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Food product manufacturing (inverse) 17% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours 17% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Other services, except government (per $ GDP) 15% [plot | correlate | graph]
...and  Energy > Conservation/Energy-Efficiency R & D Programs- Expenditures (per capita) (inverse) 15% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Intermediate Revenues (per capita) 15% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Utilities (inverse) 14% [plot | correlate | graph]
...and  Health > Percent of Firms Offering Coverage (inverse) 13% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Petroleum and coal products manufacturing (per $ GDP) 13% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) 13% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages (per $ GDP) 13% [plot | correlate | graph]
...and  Economy > Median Earnings for Male Full-Time, Year-Round Workers (inverse) 12% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages (per $ GDP) 12% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added (per $ GDP) 12% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation (per $ GDP) 12% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation (per $ GDP) 12% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Broadcasting and telecommunications (per $ GDP) 12% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials (per $ GDP) 11% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 11% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Rail transportation (per $ GDP) 11% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Rail transportation (per $ GDP) 11% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Chemical manufacturing (per capita) (inverse) 11% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Chemical manufacturing (per capita) (inverse) 11% [plot | correlate | graph]
...and  Economy > Gross State Product > Current Dollars (per capita) (inverse) 11% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Management of companies and enterprises (per $ GDP) (inverse) 11% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers (average per year) (per capita) 10% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Management of companies and enterprises (per $ GDP) (inverse) 10% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Production workers wages (per $ GDP) 10% [plot | correlate | graph]
...and  Health > Expenses per Inpatient Day (inverse) 10% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Warehousing and storage (inverse) 10% [plot | correlate | graph]
Average: 14%

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: Waste management and remediation services, Chain-type Quantity Indexes (2000 = 100) A quantity index is an index number that measures the change in the level of a quantity from a base year, apart from anychanges in relative prices. The value of the quantity index is 100 for the base year.The Bureau of Economic Analysis uses chain-type annual-weighted indexes, also known as Fisher indexes, as its measure of realoutput and prices. These measures allow for the effects of changes in relative prices and in the composition of output overtime, thereby eliminating a major source of bias inherent in fixed-weight indexes.

SOURCE: U.S. Department of Commerce, Bureau of Economic Analysis, Regional Economic Analysis Division. Data for 2003.

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