covariance
- noun
- /ˌkoʊˈveɪrəns/
- Specialized
- So a positive covariance means that the two move together.
- covariance analysis
- covariance matrix
- variance-covariance
Examples
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Now let us look at the covariance between X&Y.
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The data was input using the covariance matrix, with maximum likelihood estimation procedures used for the model testing.
Academic text (2008) -
There is not a direct translation between the pattern of covariances and the pattern of means.
Academic text (2008) -
Data were subjected to analysis of covariance to determine significant differences between pre- and post-assessments.
Academic text (1993) -
A between-subjects multivariate analysis of covariance tested the main effect of mental health group on academic functioning.
Academic text (2008) -
Data were analyzed using factor analysis, Kaiser factor matching, analysis of covariance, and a multiple regression analysis technique.
Academic text (1996) -
Mixed-effects models assumed a compound symmetry covariance structure, and we based statistical significance on two-sided likelihood ratio tests.
Academic text (2013) -
Student reading level was controlled statistically using multivariate analysis of covariance (MANCOVA) based on pretest results.
Academic text (2015) -
In addition, the clustering process produces within-cluster variance-covariance dispersion matrices that violate assumptions underlying such between-cluster analyses.
Academic text (1990) -
The positive covariance indicates that as one variable increases, the other tends to increase as well.
Synonyms
A number from -1 to 1 that shows how two things change together
How much two things change at the same time
A link between two or more measurements that shows how they change together
Surface Forms
Morphology
Etymology
Covariance comes from the prefix co- meaning 'together' and variance, from vary meaning 'change'. So covariance literally means how two things 'change together', which is why in statistics it measures the relationship between two variables.