Linear Regression vs. Multiple Regression Example Consider an analyst who wishes to establish a relationship between the daily change in a company's stock prices and daily changes in trading volume .

Multiple linear regression (MLR), also known simply as multiple regression, is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.

- Multiple linear regression formula. The equation for multiple linear regression extended to two explanatory variables (x 1 and x 2) is as follows: This can be extended to more than two explanatory ...

- Multiple linear regression formula. The equation for multiple linear regression extended to two explanatory variables (x 1 and x 2) is as follows: This can be extended to more than two explanatory ...

Linear Regression vs. Multiple Regression: Overview Linear regression, also called simple regression, is one of the most common techniques of regression analysis.