File:Normdist_regression.png · Wikimedia Commons · See Wikimedia Commons
regression analysis
Sign in to saveAlso known as regression method, regression
set of statistical processes for estimating the relationships among variables
Regression analysis is a statistical method used to understand and estimate how different variables relate to and influence each other. It matters because it helps researchers and analysts predict outcomes and identify patterns in data across many fields, from business to medicine to social science.
AI-generated from the Wikipedia summary — may contain errors.
Research
1,149,449 papers- Linear regression analysis: part 14 of a series on evaluation of scientific publications.Deutsches Arzteblatt international · 2010
- Segmented regression analysis of interrupted time series studies in medication use research.Journal of clinical pharmacy and therapeutics · 2002
- Regression analysis.Practical neurology · 2007
- Exploring heterogeneity in meta-analysis: Meta-regression analysis.American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics · 2020
- Regression analysis and multivariate analysis.Seminars in reproductive endocrinology · 1996
via PubMed
~35 min read
Encyclopedic overview
Regression line for 50 random points in a Gaussian distribution around the line y=1.5x+2
In statistical modeling, regression analysis is a statistical method for estimating the relationship between a dependent variable (often called the outcome or response variable, or a label in machine learning parlance) and one or more independent variables (often called regressors, predictors, covariates, explanatory variables or features).
Excerpted from Wikipedia’s “regression analysis” article, available under the CC BY-SA 4.0 licence.