Dr Nick

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About Dr Nick

Levels Tought:
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Teaching Since: May 2017
Last Sign in: 249 Weeks Ago, 1 Day Ago
Questions Answered: 19234
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Education

  • MBA (IT), PHD
    Kaplan University
    Apr-2009 - Mar-2014

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  • Professor
    University of Santo Tomas
    Aug-2006 - Present

Category > Statistics Posted 10 Nov 2017 My Price 14.00

the statistician is to optimize the best combination of independent variables such that the value of adjusted R-squared is maximized.

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

Answers

(3)
Status NEW Posted 10 Nov 2017 10:11 AM My Price 14.00

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