Abstract
The last two chapters completed the presentation of the basic regression results for linear models with any number of variables.
This chapter demonstrates the application of least squares regression to a problem involving five independent variables. The full model is fit and then the model is simplified to a two-variable model that conveys most of the information on Y.
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© 1998 Springer-Verlag New York, Inc.
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(1998). Case Study: Five Independent Variables. In: Rawlings, J.O., Pantula, S.G., Dickey, D.A. (eds) Applied Regression Analysis. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/0-387-22753-9_5
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DOI: https://doi.org/10.1007/0-387-22753-9_5
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98454-4
Online ISBN: 978-0-387-22753-5
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