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Linear regression / Francis Galton / Karl Pearson / Correlation and dependence / Ordinary least squares / Local regression / Eugenics / Errors and residuals in statistics / Pearson / Statistics / Regression analysis / Regression toward the mean


Galton’s Bend: An Undiscovered Nonlinearity in Galton’s Family Stature Regression Data and a Likely Explanation Based on Pearson and Lee’s Stature Data Amanda Wachsmuth, Leland Wilkinson, Gerard E. Dallal
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Document Date: 2010-02-27 00:59:50


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City

Devlin / Cleveland / London / /

Company

Cambridge University Press / Pearson / Harvard University Press / Macmillan / /

Country

United Kingdom / Ireland / /

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Event

Person Communication and Meetings / /

Facility

Northwestern University / Cambridge University / Anthropological Institute of Great Britain / Tufts University / /

IndustryTerm

linear tools / statistical tools / pervasive normal law / /

Organization

Cambridge University / Royal Society of London / Harvard University / American Statistical Association / Anthropological Institute / Northwestern University / Department of Statistics / Tufts University / Jean Mayer USDA Human Nutrition Research Center on Aging / Biostatistics Unit / /

Person

Karl Pearson / Alice Lee / Leland Wilkinson / Francis Galton / Gerard E. Dallal / Jean Mayer / J. Hamilton Dickson / Amanda Wachsmuth / /

Position

VP / linear regression model / Professor of Statistics / Scientist / regression model / Chief / mathematician / model / simple linear model / what could be the cause / Fitted Regression Model / /

PublishedMedium

Philosophical Transactions of the Royal Society / Proceedings of the Royal Society / Journal of the American Statistical Association / /

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