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

## 1 - About

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.

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data_mining/intercept.txt · Last modified: 2014/03/29 11:47 by gerardnico