Abstract
LINEAR REGRESSION is probably one of the most powerful and useful tools available to the applied statistician. This method uses one or more variables to explain the values of another. Statistics alone cannot prove a cause and effect relationship, but we can do show how changes in one set of measurements are associated with changes of the average values in another.
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Zelterman, D. (2022). Multivariable Linear Regression. In: Applied Multivariate Statistics with R. Statistics for Biology and Health. Springer, Cham. https://doi.org/10.1007/978-3-031-13005-2_9
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DOI: https://doi.org/10.1007/978-3-031-13005-2_9
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