Abstract
One of the important roles of statistical analysis is the study of variation in data collected on a response variable with the aim of relating some of that variation to changes in associated explanatory variables. The models and methodology of Chapter 15 concentrate on situations where the response variable is a scaled variable and the explanatory variables are categorical, defining groups or treatments, and with the aim of establishing whether there is a difference in mean response among groups or under different treatments. Chapter 16 covers the same territory, but for categorical response variables.
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© 2001 Springer Science+Business Media New York
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McPherson, G. (2001). Prediction and Estimation: The Role of Explanatory Variables. In: Applying and Interpreting Statistics. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3435-5_18
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DOI: https://doi.org/10.1007/978-1-4757-3435-5_18
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-2879-5
Online ISBN: 978-1-4757-3435-5
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