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Economy > GSP > Chain-type Quantity Indexes > Petroleum and coal products manufacturing (vs) Education > Postsecondary > Total Fall Enrollment > Race / Ethnicity Unknown (per capita)

VIEW DATA:   Comparison scatterplot  
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11
Education > Postsecondary > Total Fall Enrollment > Race / Ethnicity Unknown (per capita)
(per 1,000 people)
0
35 Economy > GSP > Chain-type Quantity Indexes > Petroleum and coal products manufacturing 160

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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): 0.161 (this correlation is weak)
Outliers: District of Columbia

X Axis Y Axis
Variable: Economy > GSP > Chain-type Quantity Indexes > Petroleum and coal products manufacturing Education > Postsecondary > Total Fall Enrollment > Race / Ethnicity Unknown (per capita)
Plot Display: Linear Linear
Definition: Petroleum and coal products 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. This is the count of all students of unknown race/ethnicity who are enrolled in courses creditable toward a degree or other formal award; in courses that are part of a vocational or occupational program, including those enrolled in off-campus centers; and high school students taking regular college courses for credit. Per capita figures expressed per 1,000 population.
Source: U.S. Department of Commerce, Bureau of Economic Analysis, Regional Economic Analysis Division. Data for 2003. National Center for Educational Statistics
Correlations:
      More correlations »     More correlations »
 

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