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 ...
Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 45, No. 1 (1996), pp. 111-124 (14 pages) Consider the multiple-regression framework where the goal is `black box' prediction ...
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 ...
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