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Correlated Independent Variables: The Problem of Multicollinearity
H. M. Blalock, Jr.
Vol. 42, No. 2 (Dec., 1963), pp. 233-237
Published by: Oxford University Press
Stable URL: http://www.jstor.org/stable/2575696
Page Count: 5
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Whenever two supposedly independent variables are highly correlated, it will be difficult to assess their relative importance in determining some dependent variable. The higher the correlation between independent variables the greater the sampling error of the partials. Numerical examples are given to illustrate the practical implications for social research.