Jump to ContentJump to Main Navigation
Multiple Regression with Discrete Dependent Variables$
Users without a subscription are not able to see the full content.

John G. Orme and Terri Combs-Orme

Print publication date: 2009

Print ISBN-13: 9780195329452

Published to Oxford Scholarship Online: May 2009

DOI: 10.1093/acprof:oso/9780195329452.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 14 November 2019

Introduction to Regression Modeling Introduction to Regression Modeling

Introduction to Regression Modeling Introduction to Regression Modeling

Chapter:
(p.3) 1 Introduction to Regression Modeling
Source:
Multiple Regression with Discrete Dependent Variables
Author(s):

John G. Orme

Terri Combs-Orme

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195329452.003.0001

This chapter is a brief review of some major concepts of linear regression, presented in the context of simple examples using both dichotomous and continuous independent variables. The chapter compares and contrasts linear regression and the regression models for discrete dependent variables discussed in the remaining chapters of the book in order to clarify the major concepts. This chapter explains the generalized linear model (GZLM) in the context of linear regression and discuss and illustrates residuals, spurious relationships, interactions and curvilinear relationships, and multicollinearity. In preparation for the regression models discussed in subsequent chapters, the chapter also explains the link function, maximum likelihood estimation, issues related to sample size, assumptions and limitations, and model specification and evaluation.

Keywords:   generalized linear model, residuals, spurious relationships, interactions, curvilinear relationships, multicollinearity, link function, maximum likelihood estimation, sample size

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .