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Correlation - definitions

Correlation - A predictive relationship that exists between two factors, such that when one of the factors changes, you can predict the nature of change in the other factor. For example, if information quality goes up, the costs of information scrap and rework go down.

[Category=Data Quality ]

Source: Larry English, External, 18-Jan-2009 12:06

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Correlation (statistical) - A measure of the relationship between two data sets of variables.

[Category=Quality ]

Source: American Society for Quality, 15 September 2010 09:16:38, External

Correlation - Correlation is a technique for investigating the relationship between two quantitative, continuous variables. Correlation is the degree or extent of the relationship between two variables. If the value of one variable increases when the value of the other increases, they are said to be positively correlated. If the value of one variable decreases when the value other variable is increasing it is said to be negatively correlated. If one variable does not affect the other they are considered to not be correlated.

[Category=Data Quality ]

Source: iSixSigma, 11 January 2011 09:10:08, External

correlation - [statistics] An association between data or variables that change or occur together. For example, a positive correlation exists between housing costs and distance from the beach; generally, the closer a home is to the beach, the more it costs. Correlation does not imply causation. For example, there is a statistical correlation between ice cream sales and crime rates, but neither causes the other. The correlation coefficient is an index number between -1 and 1 indicating the strength of the association between two variables.

[Category=Geospatial ]

Source: esri, 08 March 2012 08:41:18, External 

correlation - Correlation is a statistical measure that indicates the extent to which two or more variables fluctuate together. A positive correlation indicates the extent to which those variables increase or decrease in parallel; a negative correlation indicates the extent to which one variable increases as the other decreases.

When the fluctuation of one variable reliably predicts a similar fluctuation in another variable, there’s often a tendency to think that means that the change in one causes the change in the other. However, correlation does not imply causation. There may be, for example, an unknown factor that influences both variables similarly.

Here’s one example: A number of studies report a positive correlation between the amount of television children watch and the likelihood that they will become bullies. Media coverage often cites such studies to suggest that watching a lot of television causes children to become bullies. However, the studies only report a correlation, not causation. It is likely that some other factor – such as a lack of parental supervision – may be the influential factor.

[Category=Data Management ]

Source:, 15 July 2013 09:01:05, External




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