If you add k independent, centered, gaussian sources of variance sigma^2, the variance of the sum is k sigma^2. If you multiply a gaussian source of variance sigma^2 by a constant k, the variance of the product is k^2 sigma^2. So in one case, the RMS raises linearly while it raises in n^0.5 with independent sources.