covariance
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Definition
- Noun:
- (Statistics) A measure of the joint variability of two random variables: Covariance quantifies how much two variables change together. A positive covariance indicates that the variables tend to move in the same direction, while a negative covariance indicates they tend to move in opposite directions. A covariance of zero suggests no linear relationship.
Usage Examples
- Noun:
- The covariance between advertising spend and sales revenue was calculated to be positive.
- A high covariance between two stocks suggests their prices often rise and fall together.
- The researcher reported the covariance matrix for all variables in the study.
Advanced Usage
"Covariance matrix": A square matrix that contains the covariances between all possible pairs of elements in a random vector. It is a key concept in multivariate statistics.
- Principal component analysis is performed on the covariance matrix of the dataset.
"Sample covariance": An estimate of the population covariance, calculated from a sample of data.
- The formula for sample covariance divides by (n-1) rather than n.
Variants and Related Words
Covary (verb): To exhibit covariance; to vary together.
- These two economic indicators are known to covary strongly.
Covariant (adjective): Changing in a corresponding way with something else.
- The covariant shift in both metrics was unexpected.
Synonyms
- Joint variability (noun phrase): A descriptive synonym for the concept of covariance.
- Co-movement (noun): Informal term for variables moving together.
Related Phrases
- "Covariance structure": Refers to the pattern of covariances between variables in a model.
- The analysis tested different assumptions about the covariance structure.
Notes
- Covariance is a foundational concept for understanding correlation, which is a standardized version of covariance. While covariance indicates the direction of a linear relationship, correlation measures both the direction and strength of that relationship on a standardized scale.
Noun
- (statistics) the mean value of the product of the deviations of two variates from their respective means