Levels Tought:
Elementary,Middle School,High School,College,University,PHD
Teaching Since: | May 2017 |
Last Sign in: | 249 Weeks Ago, 1 Day Ago |
Questions Answered: | 19234 |
Tutorials Posted: | 19224 |
MBA (IT), PHD
Kaplan University
Apr-2009 - Mar-2014
Professor
University of Santo Tomas
Aug-2006 - Present
Adjusted R-squared applies only to multiple regression
As you add more independent variables to a multiple regression, the value of R-squared increases giving you the impression that you have a better model which isn't necessarily the case. Without going in depth, the adjusted R-squared will take into account this bias of increasing R-squared.
If you examine any multiple regression results, you will note that the adjusted R-squared is ALWAYS less than R-squared because the bias has been removed.
The goal of the statistician is to optimize the best combination of independent variables such that the value of adjusted R-squared is maximized.
hope that helps
Hel-----------lo -----------Sir-----------/Ma-----------dam-----------Tha-----------nk -----------you----------- fo-----------r v-----------isi-----------tin-----------g o-----------ur -----------web-----------sit-----------e a-----------nd -----------acq-----------uis-----------iti-----------on -----------of -----------my -----------pos-----------ted----------- so-----------lut-----------ion----------- pl-----------eas-----------e p-----------ing----------- me----------- on----------- ch-----------at -----------I a-----------m o-----------nli-----------ne -----------or -----------inb-----------ox -----------me -----------a m-----------ess-----------age----------- I -----------wil-----------l