Abstract
Multivariate linear regression is a natural extension of multiple linear regression in that both techniques try to interpret possible linear relationships between certain input and output variables. Multiple regression is concerned with studying to what extent the behavior of a single output variable Y is influenced by a set of r input variables X = (X 1, …, X r)τ.
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© 2013 Springer Science+Business Media New York
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Izenman, A.J. (2013). Multivariate Regression. In: Modern Multivariate Statistical Techniques. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-78189-1_6
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DOI: https://doi.org/10.1007/978-0-387-78189-1_6
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-78188-4
Online ISBN: 978-0-387-78189-1
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