What you provide
What you provide
- Residual sum of squares, using the same scenario as the other inputs
- Observation count, using the same scenario as the other inputs
- Fitted parameter count, using the same scenario as the other inputs
MATH / LINEAR REGRESSION
Estimate residual scatter from residual sum of squares and residual degrees of freedom. Review the equation, substituted values, result, assumptions, and interpretation in one focused workspace.
Use boundary
Estimate residual scatter from residual sum of squares and residual degrees of freedom. The page evaluates the displayed equation from your supplied values and presents both symbolic and substituted KaTeX working so the arithmetic can be checked.
RSE=sqrt[SSE/(n-p)]
What you provide
What you receive
Use boundary
Residuals are measured on one response scale and the fitted parameter count includes the intercept.
Use internally consistent units and retain extra precision when carrying the result into another calculation.
Reviewed reference factors