Unit-weighted regression
（重定向自Beta weight）
In statistics, unit-weighted regression is a simplified and robust version (Wainer & Thissen, 1976) of multiple regression analysis where only the intercept term is estimated. That is, it fits a model
where each of the ![x_i](/Images/godic/202412/24/05e42209d67fe1eb15a055e9d3b3770e2244.png")
are binary variables, perhaps multiplied with an arbitrary weight.