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Economy > GSP > Chain-type Quantity Indexes > Wood product manufacturing (vs) Economy > GSP > Chain-type Quantity Indexes > Paper manufacturing

VIEW DATA:   Comparison scatterplot  
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    Flags   Circles (same size)   Circles (by population)   Circles (by GDP)   Circles (by land area)  
128
Economy > GSP > Chain-type Quantity Indexes > Paper manufacturing
29
62 Economy > GSP > Chain-type Quantity Indexes > Wood product manufacturing 148

Move your mouse over the circles to view country names, and then click to view their profiles.
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): 0.213 (this correlation is weak)
Outliers: North Dakota, District of Columbia

X Axis Y Axis
Variable: Economy > GSP > Chain-type Quantity Indexes > Wood product manufacturing Economy > GSP > Chain-type Quantity Indexes > Paper manufacturing
Plot Display: Linear Linear
Definition: Wood product manufacturing, 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. Paper manufacturing, 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. U.S. Department of Commerce, Bureau of Economic Analysis, Regional Economic Analysis Division. Data for 2003.
Correlations:
      More correlations »     More correlations »
 

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