# Multiple Regression

Multiple regression is employed to understand how multiple independent variables (x) are statistically related to the dependent variable (y) and to what degree. It helps mathematically describe the form of the relationships between multiple variables (x1, x2, x3) and (y), it helps to mathematically determine how good the overall model (inclusion of all variables) is at describing or predicting the behavior of (y), and it helps to mathematically isolate the independent contribution of each (x) variable to the total variance in (y).