Abstract
The effects of factors and their interactions are often evaluated by comparing appropriate means using analysis of variance (ANOVA) techniques. The familiar ANOVA procedures are no longer applicable in the presence of unequal replicates and missing data. The use of multiple regression in the analysis of this type of data and analysis of covariance problems is discussed. Illustrative examples are included.

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