I heard that multiple regression assumes that the independent variables are
correlated somehow. So when we convert the multiple regression into SEM diagram,
we see covariance arrows are drawn between independent variables.
So I wonder what if we assume the independecy between independent variables?
Does it change the estimates of coefficient? How much would it make difference?
And in what conditions would the difference get larger?
If possible, some mathematical background would be appreciated.