the difference between a score and the mean score, multiplied by this same difference. It is part of the denominator of the F ratio in an analysis of variance and represents the amount of variation in the dependent variable that cannot be explained by the independent variables. Also called residual sum of squares; sum of squared errors (SSE). Compare regression sum of squares.