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Correlation vs Variance - What's the difference?

correlation | variance |

In statistics terms the difference between correlation and variance

is that correlation is one of the several measures of the linear statistical relationship between two random variables, indicating both the strength and direction of the relationship while variance is (second central moment in probability) The second central moment in probability.

As nouns the difference between correlation and variance

is that correlation is a reciprocal, parallel or complementary relationship between two or more comparable objects while variance is the act of varying or the state of being variable.

correlation

English

(wikipedia correlation)

Noun

(en noun)
  • A reciprocal, parallel or complementary relationship between two or more comparable objects
  • (statistics) One of the several measures of the linear statistical relationship between two random variables, indicating both the strength and direction of the relationship.
  • An isomorphism from a projective space to the dual of a projective space, often to the dual of itself.

    • Derived terms

    * autocorrelation * correlation coefficient * Pearson correlation

    Related terms

    * correlate

    variance

    English

    Alternative forms

    * variaunce * var

    Noun

    (wikipedia variance) (en noun)
  • The act of varying or the state of being variable
  • A difference between what is expected and what happens
  • The state of differing or being in conflict
  • A discrepancy, especially between two legal documents
  • (senseid)(statistics) The second central moment in probability
  • (computing, programming) covariance and contravariance generally