Project

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This report investigates the health and economic consequences of severe weather events across the United States. Using data from the NOAA Storm Database (1996-2011), the analysis identifies the event types most harmful to population health and those responsible for the greatest financial losses. The project was completed as part of the Johns Hopkins University Reproducible Research course on Coursera.

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This is the third part of the posts on linear regression. This is Deming regression where the x and y axes have a purely correlational relationship and there could be errors in either dimension. Deming regression is used to make comparisons between experimental methods but is also useful in allometry.