  We know that the marginals in a multinomial distribution are binomial
variates exhibiting a negative correlation. But we can construct two linear
combinations of such marginals in such a way to obtain a positive correlation.
We discuss the restrictions that are to be imposed on the parameters of the
given marginals to accomplish such a result. Next we discuss the regression
function, showing that it is a linear function but not homoscedastic.
