In statistics, the variance measures the average degree to which each point differs from the mean; standard deviation is the square root of the variance. Why bother squaring the variance? Select all that applies. A) Because it weights outliers more heavily than data very near the mean. B) Prevents differences above the mean from canceling out those below, which can sometimes result in a variance of zero. C) Helps when inferring population metrics from sample metrics D) Squaring the variance helps remove negative values from the formula, which can then be used in the sum of squared errors (SSE)