Usually means: Statistical method predicting variable relationships.
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We found 31 dictionaries that define the word regression analysis:

General (11 matching dictionaries)
  1. regression analysis: Longman Dictionary of Contemporary English
  2. regression analysis: Merriam-Webster
  3. regression analysis: Vocabulary.com
  4. regression analysis: Infoplease Dictionary
  5. regression analysis: Dictionary.com
  6. Regression analysis: Wikipedia, the Free Encyclopedia
  7. regression analysis: Rhymezone
  8. Regression Analysis: Stammtisch Beau Fleuve Acronyms
  9. regression analysis: FreeDictionary.org
  10. regression analysis: Mnemonic Dictionary
  11. regression analysis: TheFreeDictionary.com

Business (12 matching dictionaries)
  1. MoneyGlossary.com (No longer online)
  2. INVESTORWORDS (No longer online)
  3. Regression analysis: bizterms.net
  4. regression analysis: Finance-Glossary.com
  5. Regression Analysis: Management Methods, Models, and Theories
  6. Regression Analysis: Management Dictionary
  7. regression analysis: Legal dictionary
  8. Regression Analysis: Financial dictionary
  9. Accounting, Business Studies and Economics Dictionary (No longer online)
  10. BusinessDictionary.com (No longer online)
  11. Regression analysis, Regression analysis: WashingtonPost.com: Business

Computing (1 matching dictionary)
  1. regression analysis: Encyclopedia

Medicine (4 matching dictionaries)
  1. Medical Dictionary (No longer online)
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  3. Glossary of HIV/AIDS Related Terms (No longer online)
  4. regression analysis: Medical dictionary

Science (1 matching dictionary)
  1. Earthquake Image Glossary (No longer online)

Tech (2 matching dictionaries)
  1. Glossary of Meteorology (No longer online)
  2. Lake and Water Word Glossary (No longer online)

Definitions from Wikipedia (Regression analysis)

noun:  In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the outcome or response variable, or a label in machine learning parlance) and one or more error-free independent variables (often called regressors, predictors, covariates, explanatory variables or features).


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