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Regression Analysis with Python
book

Regression Analysis with Python

by Luca Massaron, Alberto Boschetti
February 2016
Beginner to intermediate
312 pages
7h 23m
English
Packt Publishing
Content preview from Regression Analysis with Python

Interaction models

Having explained how to build a regression model with multiple variables and having touched on the theme of its utilization and interpretation, we start from this paragraph to explore how to improve it. As a first step, we will work on its fit with present data. In the following chapters, devoted to model selection and validation, we will concentrate on how to make it really generalizable—that is, capable of correctly predicting on new, previously unseen data.

As we previously reasoned, the beta coefficients in a linear regression represent the link between a unit change in the predictors and the response variations. The assumptions at the core of such a model are of a constant and unidirectional relationship between each predictor ...

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Publisher Resources

ISBN: 9781785286315