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expectation and taking w out of the expectation operation (since it is a constant and not dependent on z) Turns out, the variance of z is just wt*covariance of x (sigma) *w. Covariance is the variance of a multi-dimensional random variable, in our case, x. It is a square matrix of size k*k, where k