Abstract
As previously explained, a multiple regression analysis is a type of test that analyzes the amount of variance explained in a dependent variable by more than one predictor variable. The variables are interval, but sometimes they may have continuous predictors, meaning they are not discrete. For example, weight is a continuous variable, since someone may weigh 125.6 pounds. Sometimes, a researcher wishes to examine the interactions between predictors, when the data are centered.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2017 Sense Publishers
About this chapter
Cite this chapter
Ross, A., Willson, V.L. (2017). Multiple Regression with Two Continuous Predictors and the Interactions Between Them. In: Basic and Advanced Statistical Tests. SensePublishers, Rotterdam. https://doi.org/10.1007/978-94-6351-086-8_11
Download citation
DOI: https://doi.org/10.1007/978-94-6351-086-8_11
Publisher Name: SensePublishers, Rotterdam
Online ISBN: 978-94-6351-086-8
eBook Packages: EducationEducation (R0)