Distribution of MLE of the multiple correlation coefficient for data with missing values in a dependent variable

Exact expressions for the density and the distribution function of an ML estimate of the multiple correlation coefficient are presented for normal data with missing values in a dependent variable. It is illustrated by counter examples that incomplete observations increase the bias of MLE and also decrease the cardinality of a set in testing.