Linear regression is a statistical analysis technique used to estimate the functional relationship between two or more variables, namely between the dependent variable (dependent variable; response; Y) and one or more independent variables (independent variable, predictor, X). If we only use one independent variable to predict the response, it is called simple linear regression, whereas if there is more than 1 independent variable, it is called multiple linear regression.

In this MS Excel tutorial, it is described how to perform Multiple Linear Regression analysis using the LINEST Function Worksheet .

You can learn more about Excel: Multiple Linear Regression in the following video.

Excel Tutorial: Multiple Linear Regression

Multiple linear regression equation form: y = m1x1 + m2x2 + ... + b

Syntax:
LINEST(known_y's, [known_x's], [const], [stats])

Excel Tutorial: Multiple Linear Regression

You can learn a list of other Microsoft Excel Tutorials at the following link:

Tutorial Microsoft Excel

Excel Tutorial: Multiple Linear Regression