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Everything about Regression analysis
Set of statistical processes for estimating the relationships among variables
In statistical modeling, regression analysis is a statistical method for estimating the relationship between a dependent variable and one or more independent variables. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Regression analysisA 5-minute orientation
- Skim a recent paper: Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R packageInfluential work since 2022
- Pick up a classic book: A Guide to Modern EconometricsThe most-reprinted book on the subject
- Read the landmark paper: Statistical power analyses using G*Power 3.1: Tests for correlation and regression analysesCited 33,720 times
- Go sideways: Least squaresA closely related topic
- Go sideways: Logistic regressionA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses
Linear Regression Analysis
REGRESSION ANALYSIS
Gini Regression Analysis
Covariance Regression Analysis
REGRESSION COMPONENT ANALYSIS
`Three-Group' Regression Analysis: Part I. Simple Regression Analysis
Regression analysis
🆕 Influential since 2022
Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R package
Bayesian kernel machine regression‐causal mediation analysis
Distributional Regression for Data Analysis
Fuzzy multiple linear least squares regression analysis
Regression without regrets –initial data analysis is a prerequisite for multivariable regression
📚 Books worth reading
A Guide to Modern EconometricsMarno Verbeek · 2000
Multiple Regression and BeyondTimothy Z. Keith · 2013
Econometric methodsJohnston, J. · 1963
Introductory statisticsN. A. Weiss · 1982
Introduction to Statistical Mediation AnalysisDavid MacKinnon, David P. MacKinnon · 2007- 📕Quantile RegressionCristina Davino, Marilena Furno · 2013
Introduction to Linear Regression AnalysisDouglas C. Montgomery, Elizabeth A. Peck · 2001
A Concise Guide to Market ResearchErik Mooi · 2011
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Least squares In numerical linear algebra and regression analysis, least squares is a method to determine the best-fit model by minimizing the sum of the squared residuals—th…
- Logistic regression In statistics, a logistic model (or logit model) is a statistical model that models the log-odds of an event as a linear combination of one or more independent…
- Linear least squares Linear least squares (LLS) is the least squares approximation of linear functions to data. It is a set of formulations for solving statistical problems…
- Linear regression In statistics, linear regression is a model that estimates the relationship between a scalar response (dependent variable) and one or more explanatory…
- Ordinary least squares In statistics, ordinary least squares (OLS) is a type of linear least squares method for choosing the unknown parameters in a linear regression model by…
- Simple linear regression In statistics, simple linear regression (SLR) is a linear regression model with a single explanatory variable. That is, it concerns two-dimensional sample…
- Coefficient of determination In statistics, the coefficient of determination, denoted R2 or r2 and pronounced "R squared", is the proportion of the variation in the dependent variable…
- Omnibus test Omnibus tests are a kind of statistical test. They test whether the explained variance in a set of data is significantly greater than the unexplained variance…