On the Interpretation and Use of R 2 in Regression Analysis

DOI10.2307/2531949zbMath0614.62072OpenAlexW2333941540MaRDI QIDQ4721422

Inge S. Helland

Publication date: 1987

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2531949

zbMATH Keywords

computerized tomographycoefficient of determinationapproximate confidence intervalmultiple regression analysissquared multiple correlation coefficient

Mathematics Subject Classification ID

Measures of association (correlation, canonical correlation, etc.) (62H20) Linear inference, regression (62J99)

Related Items

An R² statistic for covariance model selection in the linear mixed model, R-squared for Bayesian Regression Models, QuantifyingR²bias in the presence of measurement error, A robust coefficient of determination for regression, Variability explained by covariates in linear mixed-effect models for longitudinal data, Explained variation and predictive accuracy in general parametric statistical models: The role of model misspecification, Quantifying the variance contribution of special cause mean shifts in reconfigurable batch manufacturing processes, Identifying the computational problem in applied statistics, Confidence Intervals for the Normal Multiple Correlation