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It measures the overall difference between your data and the values predicted by your estimation model (a “ residual ” is a measure of the distance from a data point to a regression line). Total SS is related to the total sum and explained sum with the following formula: Total SS = Explained SS + Residual Sum of Squares . Then, how do you find sum of squares total? Count the Number of Measurements. Calculate the Mean. Subtract Each Measurement From the Mean. Square the Difference of Each Measurement From the Mean. Add the Squares and Divide by (n - 1) Likewise, what is sum of squares used for? Sum of squares is a statistical technique used in regression analysis to determine the dispersion of data points. Sum of squares is used as a mathematical way to find the function that best fits (varies least) from the data. Simply so, what does residual sum of squares mean? In statistics, the residual sum of squares (RSS), also known as the sum of squared residua...