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  2. Pearson correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Pearson_correlation...

    Pearson's correlation coefficient is the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name.

  3. Correlation - Wikipedia

    en.wikipedia.org/wiki/Correlation

    The examples are sometimes said to demonstrate that the Pearson correlation assumes that the data follow a normal distribution, but this is only partially correct. [4] The Pearson correlation can be accurately calculated for any distribution that has a finite covariance matrix, which includes

  4. Correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Correlation_coefficient

    A correlation coefficient is a numerical measure of some type of linear correlation, meaning a statistical relationship between two variables. [ a ] The variables may be two columns of a given data set of observations, often called a sample , or two components of a multivariate random variable with a known distribution .

  5. Uncorrelatedness (probability theory) - Wikipedia

    en.wikipedia.org/wiki/Uncorrelatedness...

    Uncorrelated random variables have a Pearson correlation coefficient, when it exists, of zero, except in the trivial case when either variable has zero variance (is a constant). In this case the correlation is undefined.

  6. Correlation ratio - Wikipedia

    en.wikipedia.org/wiki/Correlation_ratio

    The correlation ratio was introduced by Karl Pearson as part of analysis of variance. Ronald Fisher commented: "As a descriptive statistic the utility of the correlation ratio is extremely limited. It will be noticed that the number of degrees of freedom in the numerator of depends on the number of the arrays" [1]

  7. Spearman's rank correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Spearman's_rank_correlation...

    The Spearman correlation coefficient is often described as being "nonparametric". This can have two meanings. First, a perfect Spearman correlation results when X and Y are related by any monotonic function. Contrast this with the Pearson correlation, which only gives a perfect value when X and Y are related by a linear function.

  8. Interclass correlation - Wikipedia

    en.wikipedia.org/wiki/Interclass_correlation

    The Pearson correlation coefficient is the most commonly used measure of interclass correlation. The interclass correlation differs from intraclass correlation, which involves variables of the same class, such as the weights of women and their identical twins. In this case, deviations are measured from the mean of all members of the single ...

  9. Pearson’s Correlation Coefficient - Wikipedia

    en.wikipedia.org/?title=Pearson’s_Correlation...

    Pages for logged out editors learn more. Contributions; Talk; Pearson’s Correlation Coefficient