Sum of squares is a statistical technique used in regression analysis to determine the dispersion of data points. In a regression analysis, the goal is to determine how well a data series can be fitted to a function that might help to explain how the data series was generated. Sum of squares is used as a mathematical way to find the function that best fits (varies least) from the data.
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