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Supervised Learning (II): Regressions

In: Introduction to FinTech using Excel

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  • Yuxing Yan

    (Sinica Education)

Abstract

This is the second part of “Supervised Learning: Regressions”. There is a good chance that most readers and students have learned this part already. It might be a good idea for those readers to go through this chapter quickly or skip it to save time. We start with the simple ones: linear regressionsLinear regression, such as one-factor linear regressionsLinear regression, multi-variable regressions, collinearityCollinearity, dummy variablesDummy variable for categorical variablesCategorical variables, and linear models for non-linear variablesNon-linear variables. In addition, we will use several examples for Logistic RegressionsLogistic regression. In this chapter, the following topics will be covered.

Suggested Citation

  • Yuxing Yan, 2025. "Supervised Learning (II): Regressions," Springer Texts in Business and Economics, in: Introduction to FinTech using Excel, chapter 0, pages 325-356, Springer.
    • Handle: RePEc:spr:sptchp:978-3-031-89779-5_12
    DOI: 10.1007/978-3-031-89779-5_12
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