The analysis of covariance is frequently used in observational studies to either adjust treatment comparisons for biases due to different distributions of extraneous variables or for improving the precison of the treatment comparisons. This paper discusses aspects that the researcher should keep in mind when planning such a study. In particular it discusses which variables should be selected as covariates when there is a positive correlation among all the variables. (Author)