Multiple Regression: Regression with Multiple Predictors

Carsten Dormann ()
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Carsten Dormann: University of Freiburg, Biometry and Environmental System Analysis

Chapter Chapter 15 in Environmental Data Analysis, 2020, pp 207-226 from Springer

Abstract: Abstract At the end of this chapter $$\ldots $$ … $$\ldots $$ … you will understand how a factorial design leads to higher sensitivity in the analysis than two separate experiments. $$\ldots $$ … you will be able to calculate a two-way ANOVA by hand if necessary. $$\ldots $$ … you will know what a statistical interaction is and how it should be interpreted. $$\ldots $$ … you will be familiar with principal component analysis (PCA) and cluster analysis for addressing the problem of collinear predictors. $$\ldots $$ … you will understand how AICc and BIC can be used for model simplification.

Date: 2020
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DOI: 10.1007/978-3-030-55020-2_15

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