Calculate the intercept of a linear regression and interpret it correctly.
The fitted line always passes through the point of means, which is what determines the intercept. When zero lies outside the observed range of x, the intercept is a mathematical artefact rather than a meaningful prediction. Interpreting an intercept as a real baseline when x = 0 was never observed is a routine misinterpretation of regression output.
Regression Intercept
Intercept = mean(y) − slope × mean(x); the regression line always passes through the means
Intercept = mean(y) − slope × mean(x); the regression line always passes through the means The fitted line always passes through the point of means, which is what determines the intercept. When zero lies outside the observed range of x, the intercept is a mathematical artefact rather than a meaningful prediction.
Interpreting an intercept as a real baseline when x = 0 was never observed is a routine misinterpretation of regression output.
This calculator takes 4 inputs: Mean of y, Mean of x, Regression slope, Minimum observed x. The pre-filled defaults are a realistic starting point — replace them with figures from your own environment for a result you can act on.