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- W3022961055 abstract "Publisher SummaryThis chapter provides an overview of correlation. Populations classified according to two or more variables are called bivariate or multivariate populations. The relationship between two variables, Y and X, can be either invariant, that is, expressible by a rigid mathematical formula from which there are no exceptions, or it may merely indicate a general tendency. The degree of usefulness of the line of best fit method is given by the comparison of the standard error of estimate with the standard deviation. If there is no dispersion at all about the line of best fit, that is, if the relationship between X and Y is a perfect, then both lines of best fit coincide. If there are two different arrays ranking corresponding to two different variable characters, the degree of correlation between these two arrays may be indicated with the help of d, the difference between the ranks of one and the same individual in the two rankings. If the correlation between two variable characteristics displayed by individuals is considered, each possible pair of individuals is examined in two different ways." @default.
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- W3022961055 title "CORRELATION" @default.
- W3022961055 doi "https://doi.org/10.1016/b978-0-08-012285-4.50018-3" @default.
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