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Frequently-Asked Questions: Certification - icpsr - University of Michigan

Frequently-Asked Questions: Certification - icpsr - University of Michigan 2025

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The document presents Lecture 3 of the ICPSR Blalock Lectures by Robert Stine, focusing on bootstrap resampling methods in regression analysis. It discusses the application of bootstrap techniques for estimating confidence intervals and standard errors, particularly in the context of correlation and simple regression models. The lecture covers various resampling methods, including residual and observation resampling, and highlights their implications for inference in regression diagnostics. Key concepts include the importance of maintaining data pairing during resampling, the asymmetry of bootstrap distributions, and the impact of outliers on regression results.

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