Regression

Manas A. Pathak ()

Chapter 6 in Beginning Data Science with R, 2014, pp 87-114 from Springer

Abstract: Abstract In this chapter we look at creating regression models with R. In regression, the goal is to predict a numeric target variable given a set of variables in the dataset. There is a large number of modeling approaches for regression; we look at some of the frequently used approaches in this chapter.

Keywords: Linear Regression Model; Target Variable; Kernel Regression; Local Fitting; Residual Standard Error (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-12066-9_6

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DOI: 10.1007/978-3-319-12066-9_6

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