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A Concise Guide to StatisticsRegression

A Concise Guide to Statistics: Regression [Regression analysis describes the influence of covariates on a response variable. Two regression models are discussed: linear regression on one or several covariates and analysis-of-variance. Methods for estimating the respective model parameters and hypothesis tests for eliminating non-significant covariates are presented.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Concise Guide to StatisticsRegression

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Publisher
Springer Berlin Heidelberg
Copyright
© Hans-Michael Kaltenbach 2012
ISBN
978-3-642-23501-6
Pages
77 –108
DOI
10.1007/978-3-642-23502-3_4
Publisher site
See Chapter on Publisher Site

Abstract

[Regression analysis describes the influence of covariates on a response variable. Two regression models are discussed: linear regression on one or several covariates and analysis-of-variance. Methods for estimating the respective model parameters and hypothesis tests for eliminating non-significant covariates are presented.]

Published: Sep 17, 2011

Keywords: Linear regression; Model reduction; ANOVA

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