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Residual Sum of Squares in Statistics Formulas
Residual Sum of Squares is the sum of the squared differences between observed and predicted values in a regression analysis. And is denoted by RSS.
Statistics formulas that make use of Residual Sum of Squares
f
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Number of Individual Values given Residual Standard Error
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FAQ
What is the Residual Sum of Squares?
Residual Sum of Squares is the sum of the squared differences between observed and predicted values in a regression analysis.
Can the Residual Sum of Squares be negative?
{YesorNo}, the Residual Sum of Squares, measured in {OutputVariableMeasurementName} {CanorCannot} be negative.
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