Multiple Regression

Daniel P. McGibney
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Daniel P. McGibney: University of Miami

Chapter Chapter 5 in Applied Linear Regression for Business Analytics with R, 2023, pp 91-113 from Springer

Abstract: Abstract In this chapter, we build upon the coverage of regression analysis by considering situations involving two or more predictor variables. For instance, while the weight of a person may be predicted using their height, we could use both the height and age of that person to predict their weight. Using more than one predictor variable to predict a response is called multiple regression analysis, which enables us to consider more predictor variables and thus obtain better estimates than those possible with simple linear regression.

Date: 2023
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DOI: 10.1007/978-3-031-21480-6_5

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