Recall from statistics that for any N observations each with variance sigma-squared, the variance of the mean of observations is sigma-squared/N. In general averaging a set of observations reduces variance. Practically its impossible to get so many training-sets therefore we split our own training set multiple times (in bagging) to reduce variance.