Covariance: Difference between revisions
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imported>Doug Williamson m (Spacing) |
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''Statistics''. | ''Statistics''. | ||
Covariance is an absolute measure of the correlation between two variables. | Covariance is an absolute measure of the correlation between two variables. | ||
The greater the positive covariance, the more likely the variables are to move in the same direction at the same time. | The greater the positive covariance, the more likely the variables are to move in the same direction at the same time. | ||
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* [[Correlation coefficient]] | * [[Correlation coefficient]] | ||
* [[Variance]] | * [[Variance]] | ||
Revision as of 12:01, 5 August 2013
Statistics.
Covariance is an absolute measure of the correlation between two variables. The greater the positive covariance, the more likely the variables are to move in the same direction at the same time.
Covariance is calculated as the expected value of the product of the differences of each variable from its mean.
