Skip to content

Explore Courses | Elder Research | Contact | LMS Login

Statistics.com
  • 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

Least Squares Method

Home » Glossaries » Least Squares Method

Least Squares Method

Least Squares Method:

In a narrow sense, the Least Squares Method is a technique for fitting a straight line through a set of points in such a way that the sum of the squared vertical distances from the observed points to the fitted line is minimized.

In a wider sense, the Least Squares Method is a general approach to fitting a model of the data-generating mechanism to the observed data. The model is specified by an equation with free parameters. The values of the model parameters are being chosen to minimize the sum of the squared deviations of the data from the values predicted by the model.

The Least Squares Method is widely used in building estimators and in regression analysis.

Browse Other Glossary Entries

Courses Using This Term

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

  • Dec 14: Statistics in Practice
    December 11, 2020/
    0 Comments
  • PUZZLE OF THE WEEK – School in the Pandemic
    December 11, 2020/
    0 Comments
  • From Kaggle to Cancel: The Culture of AI
    December 11, 2020/
    0 Comments

Social Networks

Linkedin
Twitter
Facebook
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