Multiple Regression Assumptions / Jason W. Osborne and Elaine Waters.

This Digest presents a discussion of the assumptions of multiple regression that is tailored to the practicing researcher. The focus is on the assumptions of multiple regression that are not robust to violation, and that researchers can deal with if violated. Assumptions of normality, linearity, rel...

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Bibliographic Details
Uniform Title:ERIC digest.
Main Authors: Osborne, Jason W.
Waters, Elaine (Author)
Corporate Author: ERIC Clearinghouse on Assessment and Evaluation
Language:English
Published: Washington, DC : ERIC Clearinghouse on Assessment and Evaluation, 2002.
Series:ERIC digest.
Subjects:
Error of Measurement.
Nonparametric Statistics.
Regression (Statistics)
Reliability.
Normal Distribution > Violation of Assumptions
ERIC Digests > Homoscedasticity (Statistics) > Linear Models > Type I Errors
ERIC Publications.
ERIC Digests in Full Text.
Genre:
ERIC Publications.
ERIC Digests in Full Text.
Physical Description:4 pages.
Format: Microfilm Book

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