# Statistics - Intercept - Regression (coefficient|constant) $B_0$

In a regression analysis, the intercept or the regression coefficient $B_0$ is the predicted score on Y when all predictors (X, Z) are zero.
The regression constants didn't make any sense in a lot of example because it doesn't make any sense to get zero for all others predictors (others variables not regression coefficients). It gives a meaningless regression constant $B_0$.
In contrast, if X=0 and Z=0 becomes the average then the regression coefficient $B_0$ is going to be the predicted score on Y for an average score on all others predictors. That's a meaningful value.