The difference between hierarchical and stepwise multiple regression is that Question 10 options: hierarchical regression assumes the predictor variables are correlated with each other hierarchical regression is a special case of the GLM whereas stepwise multiple regression is not hierarchical regression assumes the predictor variables are added to the regression equation without any theoretically-derived order hierarchical regression assumes the predictor variables are added in a specific order to the regression equation based on some theoretical expectation

Answered: he difference between hierarchical and…

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section: Chapter Questions

Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...

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The difference between hierarchical and stepwise multiple regression is that

Question 10 options:

	hierarchical regression assumes the predictor variables are correlated with each other
	hierarchical regression is a special case of the GLM whereas stepwise multiple regression is not
	hierarchical regression assumes the predictor variables are added to the regression equation without any theoretically-derived order
	hierarchical regression assumes the predictor variables are added in a specific order to the regression equation based on some theoretical expectation