why does imputation models depend on orthogonality can you assume an outcome from 3 sets of variables in a imputation model? why are there three sets of variables that is orthogonal to the other variable why are the variables on the management variable orthogonal why are the three sets of variables in a multi-level model useful why does management predict an outcome why do i need to specify different sets of variables what is the imputation model for management why are the three variables orthogonal to one another can an imputation model predict the outcome of an observational study? how does an imputation model work with different models why is management orthogonal to each other when to put the outcome in the imputation model why are all variables orthogonal what is the only way that the three sets of variables are correlated? can an outcome be imputational why would it be desirable to separate variables from imputation model if you imputation two sets of variables that are orthogonal are you correct? why is it helpful to have the variables in the imputation model? what is the difference between an imputation and an orthogonal model?