Regression—Part I

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

Chapter Chapter 7 in Environmental Data Analysis, 2020, pp 81-93 from Springer

Abstract: Abstract By the end of this (long) chapter $$\ldots $$ … $$\ldots $$ … the difference between correlation and regression should be obvious. Specifically, you will recognise that with a regression there is always an x and a y, that is, a variable that explains and one that responds. A predictor and an answer—an independent and a dependent variable. The dependent variable is always shown on the y-axis in the figures. $$\ldots $$ … you will be able to explain the logic of the link function and will have learned the corresponding link functions for normal, Poisson, and binomial distributions. In addition, you will be able to transform values on the response scale and model coefficients on the link scale back and forth. $$\ldots $$ … you will know that a dummy can actually be quite clever. $$\ldots $$ … you will learn about how the $$\chi ^2$$ χ 2 -test is an important special case of the GLM.

Date: 2020
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DOI: 10.1007/978-3-030-55020-2_7

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