Automated multiple regression model-building techniques often hide important aspects of data from the data analyst. Such features as nonlinearity, collinearity, outliers, and points with high leverage ...
The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...
A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Many of Pew Research Center’s survey analyses show relationships between two ...
Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Catherine Falls Commercial/Getty Images Linear regression is a type ...
Reading for Today's Lecture: 12.4, 12.5, 13 (all). Goals of Today's Lecture: Summarize confidence interval and hypothesis testing procedures for the population correlation coefficient . Introduce ...
There has been considerable public policy debate concerning the appropriate rate of adjustment to the Medicare prospective payment system for the indirect costs of graduate medical education. The ...
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