Reviewed by JeFreda R. Brown Covariance indicates the relationship between two variables whenever one variable changes. The variables, and thus the covariance, can move hand-in-hand, increasing or ...

Analysis of covariance combines some of the features of both regression and analysis of variance. Typically, a continuous variable (the covariate) is introduced into the model of an ...

The BLOCKS statement finds a design that maximizes the determinant |X'AX| of the treatment information matrix, where A depends on the block or covariate model. Alternatively, you can directly specify ...