Collinearity problems may occur in regression models when independent variables are correlated. Collinearity results in regression coefficients with round off errors, unstable estimates, incorrect signs, and inflated variances. Condition indices and variance decomposition proportions quantitatively measure the severity of the problem and should be calculated for all multiple regressions. Principal component and ridge regressions treat collinearity. Procedures for selecting the optimum regress or variables and determining their interrelationships help alleviate collinearity and other problems associated with regression.
Document Type: Research Article
Publication date: October 1, 1988
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Journal of Economic Entomology is published bimonthly in February, April, June, August, October, and December. The journal publishes articles on the economic significance of insects and is divided into the following sections: apiculture & social insects; arthropods in relation to plant disease; forum; insecticide resistance and resistance management; ecotoxicology; biological and microbial control; ecology and behavior; sampling and biostatistics; household and structural insects; medical entomology; molecular entomology; veterinary entomology; forest entomology; horticultural entomology; field and forage crops, and small grains; stored-product; commodity treatment and quarantine entomology; and plant resistance. In addition to research papers, Journal of Economic Entomology publishes Letters to the Editor, interpretive articles in a Forum section, Short Communications, Rapid Communications, and Book Reviews.