Regression Analysis

Simple Regression Analysis
The Regression Analysis is the part of Statistics that analyzes the relationship between quantitative variables. It helps predict the reaction of a variable when a related variable varies.
The objective of Regression analysis is to build a mathematical model that will help make accurate predictions about the impact of variable variations.
When building a regression model, if more than one independent variable is being considered, we call it a multiple regression analysis, if only one independent variable is being considered, the analysis is a simple linear regression.


Building a Multiple Regression Model Using Minitab and Excel
In the
Simple Linear Regression model that we built to determine the effect of the variation of the price of gas on the quantities sold, we only used one independent variable, the price per gallon. In the case of our example, the variations of the quantities sold could have been explained by other factors such as new people moving in or out of the city, the building of a new freeway, the building of a new factory...etc. All these independent variables can have a significant impact on the variation of y and need to be taken into account for a more accurate regression model.





 

www.manorhouseassociates.com



 

Place your Ad here
Six Sigma Statistics
Order "Six Sigma Statistics with Excel and Minitab," the new book by Issa Bass.