What you provide
What you provide
- Residual standard error, using the same scenario as the other inputs
- Predictor sum of squares, using the same scenario as the other inputs
MATH / LINEAR REGRESSION
Regression Slope Standard Error Calculator
Calculate the standard error of a simple linear regression slope from residual scatter and predictor spread. Inspect the equation, substituted values, result, assumptions, and interpretation in one guided workspace.
- 01 Calculated in this tab
- 02 Values stay in this browser tab
- 03 Use boundary
Use boundary
Calculation path
Calculate the standard error of a simple linear regression slope from residual scatter and predictor spread. The page evaluates the displayed equation from your supplied values and presents both symbolic and substituted KaTeX working so the arithmetic can be checked.
Calculation path
SE(b1)=s_e/sqrt(S_xx)
What you receive
What you receive
- Slope standard error from the stated equation
- A symbolic formula plus substituted working with your values
- Visible assumptions, field guidance, and an authoritative learning reference
Use boundary
Choose the maximum decimal places shown. This does not increase source accuracy.
The fitted simple linear model assumptions apply and Sxx is computed around the predictor mean.
Use internally consistent units and retain extra precision when carrying the result into another calculation.
Reviewed reference factors