Abstract
The correlation coefficient is commonly used, yet its potential for drawing causal inferences is hardly tapped. Given even quite a simple correlation matrix, any coefficient may be readily decomposed into direct and indirect effects; joint effects with other specified variables; and coordinated error effects due to unspecified causes. A worked example relating to crime rates is given.
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