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Economy > GSP > Gross Operating Surplus > Rental and leasing services and lessors of intangible assets (per $ GDP) (vs) Industry > Petroleum & coal products manufacturing > Total value of shipments (per $ GDP)

VIEW DATA:   Comparison scatterplot  
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10
Industry > Petroleum & coal products manufacturing > Total value of shipments (per $ GDP)
(per $100 of GDP)
0
0 Economy > GSP > Gross Operating Surplus > Rental and leasing services and lessors of intangible assets (per $ GDP) ($ per $1,000 of GDP) 1

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Note: It will take several minutes to draw this plot the first time you view it. After that all plots should appear much more quickly.
Strength of correlation (R squared): 0.436 (this correlation is weak)
Outliers: Delaware, Louisiana

X Axis Y Axis
Variable: Economy > GSP > Gross Operating Surplus > Rental and leasing services and lessors of intangible assets (per $ GDP) Industry > Petroleum & coal products manufacturing > Total value of shipments (per $ GDP)
Plot Display: Logarithmic (base 10) Linear
Definition: Rental and leasing services and lessors of intangible assets, Gross Operating Surplus (current dollars) Per $ GDP figures expressed per 1,000 $ gross domestic product. 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. Per $ GDP figures expressed per 100 $ gross domestic product.
Source: U.S. Department of Commerce, Bureau of Economic Analysis, Regional Economic Analysis Division. Data for 2003. Annual Survey of Manufactures, 2004
Correlations:
      More correlations »     More correlations »
 

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