Linear Regression
Linear regression is used to examine how variation in one or more factors is associated with changes in a continuous outcome. It supports comparison of effects across variables, analysis of uneven data, and practical application of the General Linear Model. The focus is on understanding relationships rather than prediction alone.
Technique Overview
Linear Regression Definition
Linear regression is a statistical technique used to model the relationship between a continuous outcome and one or more explanatory variables by estimating linear effects from observed data. It allows multiple factors to be analysed simultaneously, including continuous and coded categorical variables, and represents a foundational application of the General Linear Model (Kutner et al., 2005; Montgomery et al., 2021; Weisberg, 2005).
Linear Regression Description *
* The full technique overview will be available soon. Contact us to register your interest in our business management platform, and learn all about Linear Regression.
Business Evidence
Strengths, weaknesses and examples of Linear Regression *
* The business evidence section is for premium members only. Please contact us about accessing the Business Evidence.
Business Application
Implementation, success factors and measures of Linear Regression *
* The business application section is for premium members only. Please contact us about accessing the Business application.
Professional Tools
Linear Regression videos and downloads *
* The professional tools section is for premium members only. Please contact us about accessing the professional tools.
Further Reading
Linear Regression web and print resources *
Linear Regression references (4 of up to 20) *
- Kutner, M.H. (2005). Applied linear statistical models. Pubblicazione: Boston: Mcgraw-Hill Irwin.
- Montgomery, D.C., Peck, E.A. and Vining, G.G., 2021. Introduction to linear regression analysis. John Wiley & Sons.
- Draper, N.R. and Smith, H. (1998). Applied regression analysis. New York: Wiley.
- Weisberg, S., 2005. Applied linear regression (Vol. 528). John Wiley & Sons.
* The further reading section is for premium members only. Please contact us about accessing the further reading.
Learn more about KnowledgeBrief Manage and how you can equip yourself with the knowledge to succeed on Linear Regression and hundreds of other essential business management techniques