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A Step-by-Step Approach to Using SAS® for Univariate & Multivariate Statistics, Second Edition by Edward J. Stepanksi Ph.d., Larry Hatcher, Norm O'Rourke

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Introduction: Answering Questions with Multiple Regression

Multiple regression is a highly flexible procedure that allows researchers to address many different types of research questions with many different types of data. Perhaps the most common multiple regression analysis involves a single continuous criterion variable measured on an interval or ratio scale and multiple continuous predictor variables also assessed on an interval or ratio scale.

For example, you might be interested in determining the relative importance of variables that are believed to predict adult income. To conduct your research, you obtain information for 1,000 Canadian adults. The criterion variable in your study is annual income for these participants. The predictor ...

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