Linear regression analyzes the relationship between two variables. Multiple regression examines several variables' effects on a single outcome. Both techniques predict an outcome based on historical ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict an employee's salary based on age, height, years of experience, and so on ...