Abstract
In this paper, we propose a linked vector multiple correlation analytical graph, where given data are transformed to ranked ones, and propose a new measure which expresses the degree of multiple correlation quantitatively. Weights of contribution of explanatory variables to an objective variable can be determined from this measure. This measure is considered to be reasonable by comparing both with the results of the method by human eyes, and with the one of multiple regression analysis for data which are transformed to ranked data.
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Hiramatsu, M. Multiple Correlation by Means of the Linked Vector Pattern Based on Ranked Data. Behaviormetrika 4, 1–11 (1977). https://doi.org/10.2333/bhmk.4.1
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DOI: https://doi.org/10.2333/bhmk.4.1