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Covariance, Regression, and Correlation

3. covariance , regression , and Correlation In the previous chapter, the variance was introduced as a measure of the dispersion of a univariate distribution. Additional statistics are required to describe the joint distribution of two or more variables. The covariance provides a natural measure of the association between two variables, and it appears in the analysis of many problems in quantitative genetics including the resemblance between relatives, the Correlation between characters, and measures of selection. As a prelude to the formal theory of covariance and regression , we first pro- vide a brief review of the theory for the distribution of pairs of random variables.

regression line. That is, the least-squares solution yields the values of aand b that minimize the mean squared residual, e2. Other criteria could be used to de-fine \best fit." For example, one might minimize the mean absolute deviations (or cubed deviations) of observed values from predicted values. However, as we will now see, least ...

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nitro.biosci.arizona.edu

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