Residuals | SpringerLink
Multiple linear regression | Nature Methods
Regression diagnostics | Nature Methods
Logistic Regression | Circulation
A comparison of residual diagnosis tools for diagnosing regression models for count data | BMC Medical Research Methodology | Full Text
A new regression model for bounded response variable: An alternative to the beta and unit-Lindley regression models | PLOS ONE
Linear regression analysis study Kumari K, Yadav S - J Pract Cardiovasc Sci
Nonlinear Regression Models and Applications in Agricultural Research | Agronomy Journal
A protocol for conducting and presenting results of regression‐type analyses - Zuur - 2016 - Methods in Ecology and Evolution - Wiley Online Library
Calibration after bootstrap for accurate uncertainty quantification in regression models | npj Computational Materials
Using bootstrapped quantile regression analysis for small sample research in applied linguistics: Some methodological considerations | PLOS ONE
Multiple Linear Regression | Circulation
A comparison of residual diagnosis tools for diagnosing regression models for count data | BMC Medical Research Methodology | Full Text
Multiple Linear Regression | Circulation
Spatial Autocorrelation Approaches to Testing Residuals from Least Squares Regression | PLOS ONE
A comparison of residual diagnosis tools for diagnosing regression models for count data | BMC Medical Research Methodology | Full Text
Application of Linear Regression Mathematical Model in the Evaluation of Teachers' Informatization Quality
A comparison of residual diagnosis tools for diagnosing regression models for count data | BMC Medical Research Methodology | Full Text
A comparison of residual diagnosis tools for diagnosing regression models for count data | BMC Medical Research Methodology | Full Text
A protocol for conducting and presenting results of regression‐type analyses - Zuur - 2016 - Methods in Ecology and Evolution - Wiley Online Library
Spatial Autocorrelation Approaches to Testing Residuals from Least Squares Regression | PLOS ONE
Multiple Regression with Many Predictor Variables
From the Editor -- Evaluating the assumptions of linear regression models
Analysis of Residuals | SpringerLink
Linear and logistic regression analysis - ScienceDirect
The number of subjects per variable required in linear regression analyses - ScienceDirect
Linear and logistic regression analysis - ScienceDirect
