STATS 2B03 Chapter Notes - Chapter 10: Null Hypothesis, Test Statistic, Dependent And Independent Variables

42 views2 pages
19 Jun 2013
Department
Professor

Document Summary

This assumptions distinguishes the multiple regression model from the multiple correlation model. This condition indicates that any inferences that are drawn from sample data apply only to the set of x values observed and not to some larger collection of x"s. Under the regression model, correlation analysis is not meaningful. For each set of xi values there is a subpopulation of y values. To construct certain confidence intervals and test hypotheses, it must be known, or the researcher must be willing to assume, that these subpopulations of y values are normally distributed. Since we will want to demonstrate these inferential procedures, the assumption of normality will be made. The variances of the subpopulation of y are all equal. That is, the values of y selected for one set of x values do not depend on the values of y selected at another set of x values. 10. 3 obtaining the multiple regression equation sum of squares of deviations: .

Get access

Grade+20% off
$8 USD/m$10 USD/m
Billed $96 USD annually
Grade+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
40 Verified Answers
Class+
$8 USD/m
Billed $96 USD annually
Class+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
30 Verified Answers

Related textbook solutions

Related Documents