Question 2 (3 points) The process of computing sum of squares Q Is equal to the square of the standard deviation 0 Prevents the sum of the differences of the observations from the mean to be a non-zero number 0 Allows the variance of a distribution to be both the variance and the standard deviation until the sum of squares is divided by n Q Is equal to Pearson's r