Question: what is the difference between sum of squares and variance?
Answer: As more data points are added to the set, the sum of squares becomes larger as the values will be more spread out. ... The variance is the average of the sum of squares (i.e., the sum of squares divided by the number of observations). The standard deviation is the square root of the variance.