The Use of Multivariate Analysis Techniques

Richard Boire

Chapter Chapter 15 in Data Mining for Managers, 2014, pp 125-132 from Palgrave Macmillan

Abstract: Abstract The most commonly used techniques in predictive modeling are linear and logistic regression. The statistics in linear regression predict outcomes with a continuous range of values; logistic regression predicts outcomes that are categorical in nature. The most commonly used logistic routines are used to predict yes/no behaviors, such as response, attrition, or credit default. The outcome derived can also be a set of rules such as CHAID rather than a score, which is the predicted outcome of either logistic or linear regression.

Keywords: Logistic Regression; Validation Sample; Holdout Sample; Multivariate Analysis Technique; Performance Lift (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:pal:palchp:978-1-137-40619-4_15

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DOI: 10.1057/9781137406194_15

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