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Building Regression Models

In: R for Business Analytics

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  • A. Ohri

    (Founder-Decisionstats.com)

Abstract

One of the most common uses of statistical software is for building models, specifically logistic regression models for propensity in the marketing of goods and services. Within the R Project, regression packages are shown in the documentation in both the Econometrics view— http://cran.cnr.berkeley.edu/web/views/Econometrics.html —and the Finance view. A basic summary of all the R functions used for building regression models can be seen at http://cran.r-project.org/doc/contrib/Ricci-refcard-regression.pdf . A very good textbook on the basics of regression is Practical Regression and Anova Using R by Julian J. Faraway (available for free at http://cran.r-project.org/doc/contrib/Faraway-PRA.pdf ).

Suggested Citation

  • A. Ohri, 2012. "Building Regression Models," Springer Books, in: R for Business Analytics, edition 127, chapter 0, pages 171-191, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4614-4343-8_6
    DOI: 10.1007/978-1-4614-4343-8_6
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