Residual Sum of Squares given Residual Standard Error evaluator uses Residual Sum of Squares = (Residual Standard Error^2)*(Sample Size in Sum of Square-1) to evaluate the Residual Sum of Squares, Residual Sum of Squares given Residual Standard Error formula is defined as the sum of the squared differences between observed and predicted values in a regression analysis, and calculated using the residual standard error of the data. Residual Sum of Squares is denoted by RSS symbol.
How to evaluate Residual Sum of Squares given Residual Standard Error using this online evaluator? To use this online evaluator for Residual Sum of Squares given Residual Standard Error, enter Residual Standard Error (RSE) & Sample Size in Sum of Square (N(SS)) and hit the calculate button.