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.
The form of multiple linear regression equation: y = m1x1 + m2x2 + ... + b
This tutorial describes how to perform multiple linear regression analysis using Statsoft Statistica.
You can learn the full Statistica: Multiple Regression tutorial in the following video.
Tutorial Statistica: Multiple Regression
Tutorial Statistica: Multiple Regression
Tutorial
If you are interested in the Statistica: Multiple Regression Tutorial , please subscribe to the Smartstat Channel: https://youtube.com/user/smartstatistik
If you are interested in the Statistica: Multiple Regression Tutorial , please subscribe to the Smartstat Channel: https://youtube.com/user/smartstatistik
List of other Statistics Tutorials , you can learn at the following link:
