Statistics MCQs, Analysis, Software
Multiple Linear Regression Models, Multiple Regression Analysis, Model fitting, Model Selection Criteria, OLS Model Assumptions, Regression Diagnostics
Introduction to Multiple Regression Analysis Francis Galton (a biometrician) examines the relationship between fathers’ and sons’ height. He analyzed the similarities between the parent and child generation of 700 sweet peas. Galton found that the offspring of tall parents tended to be shorter and offspring …
In this tutorial, we will learn how to perform hierarchical multiple regression analysis SPSS, which is a variant of the basic multiple regression analysis that allows specifying a fixed order of entry for variables (regressors) to control for the effects of covariates or to test …
Introduction to Multiple Regression Model A multiple regression model (a regression having multi-variable) is referred to as a regression model having more than one predictor (independent and explanatory variable) to explain a response (dependent) variable. We know that simple regression models have one predictor used …
Considering the application of regression analysis in medical sciences, Chan et al. (2006) used multiple linear regression to estimate standard liver weight for assessing adequacies of graft size in live donor liver transplantation and remnant liver in major hepatectomy for cancer. Standard liver weight (SLW) …