In an increasingly data-driven world, it is more important than ever for students as well as professionals to better understand basic statistical concepts. 100 Questions (and Answers) About Statistics addresses the essential questions that students ask about statistics in a concise and accessible way. It is perfect for instructors, students, and practitioners as a supplement to more comprehensive materials, or as a desk reference with quick answers to the most frequently asked questions.

What Is Multiple Regression, and How Is It Used?

What Is Multiple Regression, and How Is It Used?

You learned in question #94 how the value of one variable can be used to predict the value of another. Often, social and behavioral sciences researchers look at how more than one variable can predict another. This technique is called multiple regression.

For example, it’s fairly well established that parents’ literacy behaviors (such as having books in the home) are related to how much and how well their children read. So, it would seem quite interesting to look at such variables as parents’ age, education level, literacy activities, and shared reading with children to see what they contribute to early language skills and interest in books. Paula Lyytinen, Marja-Leena Laakso, and Anna-Maija Poikkeus did exactly that, ...

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