Linear regression is a statistical analysis technique used to estimate the functional relationship between two or more variables, namely between the dependent variable (dependent; 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.
You can learn more about Excel: Multiple Linear Regression (Toolpak) tutorial in the following video.
Excel Tutorial: Multiple Linear Regression (Toolpak)
The form of multiple linear regression equation: y = m1x1 + m2x2 + ... + b
This tutorial describes how to perform multiple linear regression analysis using the Add-Ins Analysis Toolpak.
Excel Tutorial: Multiple Linear Regression (Toolpak)
Tutorial
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