@hlsmith, I want to know the practical approach of multivariate regression. my question is that, if we run a multivariate regression with 5 predictors and 2 response variables. how many regression coefficients will be there?
1 - will there be one slope from a predictor to predict two response...
I suspect the solution. it is not that simple.
1 - how the probability of getting feature 1 is 0.1 and getting feature 4 is 0.4? As feature 1 to 4 all has to be nominees not numbers.
2 - If your proposed solution is right for part a, the n how will you use it to answer rest of the other parts?