- Added Multiple Factor Regression Analysis
- Added CUSUM Analysis
Updated User guide
Download the updated ENMAT User guide Pages 45 – 49 updated.
Document Date updated: 7th September 2015
Document Version: 1.7
Multiple regression analysis is a powerful technique used for predicting the unknown value of a variable from the known value of two or more variables- also called the predictors.
Regression analysis essentially estimates the relationships among variables (trend)
The purpose of multiple regression is to predict a single variable from one or more independent variables. Multiple regression with many predictor variables is an extension of linear regression with two predictor variables. A linear transformation of the X variables is done so that the sum of squared deviations of the observed and predicted Y is a minimum.