Originally Posted by

**Dragan**
The intercept term is computed so that the mean of the predicted values of dependent variable equals the mean the actual values of the dependent variable.

If you think that the intercept term should (theoretically) be zero, then rerun the regression and set (force) the intercept (constant) term arbitrarily to be zero. Note that, in so doing, the sum of the error terms of the regression model may not be zero. Thus, if you force both the intercept and the sum of the error terms to be zero, then the estimates of the regression weights for your model will not be (in general) unbiased.