MULTIPLE REGRESSION ANALYSIS

Multiple Regression Analysis

Multiple Regression Analysis

Introduction

In general, the regression models are built in order to explain or predict (from the perspective of the analysis) the variance of a phenomenon (dependent variable) using a combination of explanatory factors (independent variables). In the case of multiple linear regressions, the dependent variable is always a continuous variable while the independent variables can be continuous or categorical. The multiple linear regressions are called when the model is composed of two independent variables (Aiken, West and Reno, 2008). Conversely, a simple linear regression model contains only one independent variable (Bryant, 2007). As it is ...