Which is TRUE when comparing MANOVA with discriminant analysis (DA)?
DA analysis requires the inclusion of the cross-product variance of all X pairs, whereas MANOVA does not.
Both utilize categorical outcome variables.
MANOVA can utilize multiple categorical factors, whereas DA is usually limited to one categorical variable.
DA requires homogeneity of variance/covariance, whereas MANOVA does not.
