Skip to content

Explore Courses | Elder Research | Contact | LMS Login

Statistics.com: Data Science, Analytics & Statistics Courses
  • Curriculum
    • Curriculum
    • About Us
    • Testimonials
    • Management Team
    • Faculty Search
    • Teach With Us
    • Credit & Credentialing
  • Courses
    • Explore Courses
    • Course Calendar
    • About Our Courses
    • Course Tour
    • Test Yourself!
  • Mastery Series
    • Mastery Series Program
    • Bayesian Statistics
    • Business Analytics
    • Healthcare Analytics
    • Marketing Analytics
    • Operations Research
    • Predictive Analytics
    • Python for Analytics
    • R Programming
    • Rasch & IRT
    • Spatial Statistics
    • Statistical Modeling
    • Survey Statistics
    • Text Mining and Analytics
  • Certificates
    • Certificate Program
    • Analytics for Data Science
    • Biostatistics
    • Programming for Data Science – R (Novice)
    • Programming for Data Science – R (Experienced)
    • Programming for Data Science – Python (Novice)
    • Programming for Data Science – Python (Experienced)
    • Social Science
  • Degrees
    • Degree Programs
    • Computational Data Analytics Certificate of Graduate Study from Rowan University
    • Health Data Management Certificate of Graduate Study from Rowan University
    • Data Science Analytics Master’s Degree from Thomas Edison State University (TESU)
    • Data Science Analytics Bachelor’s Degree – TESU
    • Mathematics with Predictive Modeling Emphasis BS from Bellevue University
  • Enterprise
    • Organizations
    • Higher Education
  • Resources
    • Blog
    • FAQs & Knowledge Base
    • Glossary
    • Site Map
    • Statistical Symbols
    • Weekly Brief Newsletter Signup
    • Word of the Week
Menu Close
  • Curriculum
    • Curriculum
    • About Us
    • Testimonials
    • Management Team
    • Faculty Search
    • Teach With Us
    • Credit & Credentialing
  • Courses
    • Explore Courses
    • Course Calendar
    • About Our Courses
    • Course Tour
    • Test Yourself!
  • Mastery Series
    • Mastery Series Program
    • Bayesian Statistics
    • Business Analytics
    • Healthcare Analytics
    • Marketing Analytics
    • Operations Research
    • Predictive Analytics
    • Python for Analytics
    • R Programming
    • Rasch & IRT
    • Spatial Statistics
    • Statistical Modeling
    • Survey Statistics
    • Text Mining and Analytics
  • Certificates
    • Certificate Program
    • Analytics for Data Science
    • Biostatistics
    • Programming for Data Science – R (Novice)
    • Programming for Data Science – R (Experienced)
    • Programming for Data Science – Python (Novice)
    • Programming for Data Science – Python (Experienced)
    • Social Science
  • Degrees
    • Degree Programs
    • Computational Data Analytics Certificate of Graduate Study from Rowan University
    • Health Data Management Certificate of Graduate Study from Rowan University
    • Data Science Analytics Master’s Degree from Thomas Edison State University (TESU)
    • Data Science Analytics Bachelor’s Degree – TESU
    • Mathematics with Predictive Modeling Emphasis BS from Bellevue University
  • Enterprise
    • Organizations
    • Higher Education
  • Resources
    • Blog
    • FAQs & Knowledge Base
    • Glossary
    • Site Map
    • Statistical Symbols
    • Weekly Brief Newsletter Signup
    • Word of the Week

Variable-Selection Procedures (Graphical)

Variable-Selection Procedures (Graphical)

Variable-Selection Procedures:

In regression analysis, variable-selection procedures are aimed at selecting a reduced set of the independent variables - the ones providing the best fit to the model.

The criterion for selecting is usually the following F-statistic:

Math image

where n is the total number of data points, SSE is the sum squares due to error - that is, the sum of squares minimized by the least squares method. If adding the variable xp+1 to variables x1,...,xp does not improve (or deletion of the variable xp+1 does not worsen) the fit significantly, this statistic follows an F-distribution; otherwise, the statistic tends to take on larger values.

There are several methods for variable-selection procedures. Some of them are step-wise regression, forward selection, backward elimination.

Browse Other Glossary Entries

Courses Using This Term

Forecasting Analytics
This course will teach you how to choose an appropriate time series model: fit the model, conduct diagnostics, and use the model for forecasting.
Regression Analysis
This course will teach you how multiple linear regression models are derived, the use software to implement them, what assumptions underlie the models, how to test whether your data meet those assumptions and what can be done when those assumptions are not met, and develop strategies for building and understanding useful models.
Return to Glossary Search

About Statistics.com

Statistics.com offers academic and professional education in statistics, analytics, and data science at beginner, intermediate, and advanced levels of instruction. Statistics.com is a part of Elder Research, a data science consultancy with 25 years of experience in data analytics.

Latest Blogs

  • March 9: Statistics and Data Science in Practice
    March 7, 2021/
    0 Comments
  • Feb 23: Statistics and Data Science in Practice
    March 5, 2021/
    0 Comments
  • Word of the Week – Ruin Theory
    March 4, 2021/
    0 Comments

Social Networks

Linkedin-in
Twitter
Facebook-f
Youtube

Contact

The Institute for Statistics Education
4075 Wilson Blvd, 8th Floor
Arlington, VA 22203
(571) 281-8817

ourcourses@statistics.com

© Copyright 2021 - Statistics.com, LLC | All Rights Reserved | Privacy Policy | Terms of Use

By continuing to use this website, you consent to the use of cookies in accordance with our Cookie Policy.

Accept