Regression Modeling

Allen Holder and Joseph Eichholz
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Allen Holder: Rose-Hulman Institute of Technology
Joseph Eichholz: Rose-Hulman Institute of Technology

Chapter Chapter 13 in An Introduction to Computational Science, 2019, pp 431-445 from Springer

Abstract: Abstract We learned in Chap. 3 how to calculate and assess model parameters for a linear regression model. However, we did not consider which variables a model should include, and it is this question that we approach here. The process of identifying a collection of independent variables to gain an accurate statistical analysis of a response variable is commonly, and simply, referred to as “model building” model building (regression) in the world of statistics. The act of model building combines intuition and computational skill and is an artful application of mathematics. Numerous appropriate models are often inferred from the same data, and indeed, disparate models are regularly disputed among experts. What is important is to be able to identify a model’s benefits and weaknesses so that its strengths can be leveraged and its faults avoided.

Date: 2019
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DOI: 10.1007/978-3-030-15679-4_13

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