By assuming it is possible to understand regression analysis
without fully comprehending all its underlying proofs and theories,
this introduction to the widely used statistical technique is
accessible to readers who may have only a rudimentary knowledge of
mathematics. Chapters discuss:
-descriptive statistics using vector notation and the components
of a simple regression model;
-the logic of sampling distributions and simple hypothesis
testing;
-the basic operations of matrix algebra and the properties of the
multiple regression model; -testing compound hypotheses and the
application of the regression model to the analyses of variance and
covariance, and
-structural equation models and influence statistics.
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