Regression & Predictive Modeling
Intercept
The intercept is the predicted value of the outcome when every input variable equals zero — graphically, the height at which the regression line crosses the vertical axis. In the equation y = intercept + slope × x, it is the constant baseline you start from before x has any effect.
Be careful reading too much meaning into it: if x = 0 never actually happens in your data (for example, a person of height zero), the intercept is just a mathematical anchor that holds the line in place, not a real-world quantity. Centering your variables (subtracting their mean) often makes the intercept interpretable as the prediction at an average input.
Also called