In the social sciences, unit-weighted regression is sometimes used for binary classification, i.e. to predict a yes-no answer where \hat{y} < 0 indicates "no", \hat{y} \ge 0 "yes". It is easier to interpret than multiple linear regression (known as linear discriminant analysis in the classification case).
