Unit-weighted Regression

In statistics, unit-weighted regression is perhaps the easiest form of multiple regression analysis, a method in which two or more variables are used to predict the value of an outcome.

At a conceptual level, the example of weight loss can illustrate the idea of multiple regression. If a group of people join a weight loss program, we might wish to predict who would lose weight. The outcome is weight loss. We might find that those who lost weight were likely to increase their fruit intake, to exercise more, and to substitute low-calorie drinks for sugary drinks. The point is that several variables can be considered at the same time for their effect on an outcome of interest.

Read more about Unit-weighted Regression:  Beta Weights, Model Specification, Unit Weights, Literature Review, Example