Relationships Between and Among Variables

In Chapter 11, you learn how to examine and test the significance of relationships between two or more variables measured at the scale (interval and ratio), ordinal, and nominal levels. The study of relationships is an important part of statistics, because we use correlational studies to answer important research questions in a variety of disciplines.

We begin with correlation and regression, examining relationships between a single predictor and a single criterion or dependent variable. We then move to special cases of the correlation coefficient that involve ranked or nominal data for one ...

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