How to Calculate Residual Sum of Squares given Residual Standard Error?
Residual Sum of Squares given Residual Standard Error calculator uses Residual Sum of Squares = (Residual Standard Error^2)*(Sample Size in Sum of Square-1) to calculate 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 calculate Residual Sum of Squares given Residual Standard Error using this online calculator? To use this online calculator 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. Here is how the Residual Sum of Squares given Residual Standard Error calculation can be explained with given input values -> 56 = (2^2)*(15-1).