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covariance

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The answer COVARIANCE has 1 possible clue(s) in existing crosswords.

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Definitions of covariance in various dictionaries:

noun - (statistics) the mean value of the product of the deviations of two variates from their respective means

A statistical measure of the variance of two random variables that are observed or measured in the same mean time period.

COVARIANCE - In probability theory and statistics, covariance is a measure of the joint variability of two random variables. If the greater values of one variable...

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Possible Crossword Clues
Statistical calculation

Last Seen in these Crosswords & Puzzles
Jun 26 2004 New York Times

Possible Dictionary Clues
A statistical measure of the variance of two random variables that are observed or measured in the same mean time period. This measure is equal to the product of the deviations of corresponding values of the two variables from their respective means.
statistical measure of the variance of two random variables measured in the same mean time period
The property of a function of retaining its form when the variables are linearly transformed.
The mean value of the product of the deviations of two variates from their respective means.

Covariance description
In probability theory and statistics, covariance is a measure of the joint variability of two random variables. If the greater values of one variable mainly correspond with the greater values of the other variable, and the same holds for the lesser values, (i.e., the variables tend to show similar behavior), the covariance is positive. In the opposite case, when the greater values of one variable mainly correspond to the lesser values of the other, (i.e., the variables tend to show opposite behavior), the covariance is negative. The sign of the covariance therefore shows the tendency in the linear relationship between the variables. The magnitude of the covariance is not easy to interpret because it is not normalized and hence depends on the magnitudes of the variables. The normalized version of the covariance, the correlation coefficient, however, shows by its magnitude the strength of the linear relation. * A distinction must be made between (1) the covariance of two random variables,

Covariance description

In probability theory and statistics, covariance is a measure of the joint variability of two random variables. If the greater values of one variable mainly correspond with the greater values of the other variable, and the same holds for the lesser values, (i.e., the variables tend to show similar behavior), the covariance is positive. In the opposite case, when the greater values of one variable mainly correspond to the lesser values of the other, (i.e., the variables tend to show opposite behavior), the covariance is negative. The sign of the covariance therefore shows the tendency in the linear relationship between the variables. The magnitude of the covariance is not easy to interpret because it is not normalized and hence depends on the magnitudes of the variables. The normalized version of the covariance, the correlation coefficient, however, shows by its magnitude the strength of the linear relation.
* A distinction must be made between (1) the covariance of two random variables,

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