August 2006

In Which Drew Suggests that Scientists Avoid The Word 'Regression'

I've spent quite a bit of time in the last few weeks - probably too much - thinking about the term 'regression' and its use in statistics, and why I find it so dislikeable. I sincerely doubt any campaign I try to start will have any real effect, so let me lay down the reasons why I feel we as scientists should refer to linear modelling as just such, and not as 'regression'.

One reason is that the word only has a tenuous connection to the actual algorithm - the other is that it far too often implies a causal relationship where none exists.

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More on Standards and Statistical Measures of Partisan Gerrymandering

For those interested in more detail about the Texas Redistricting case, and associated Amici brief, that Drew Thomas wrote about a few entries ago, you might be interested in The Future of Partisan Symmetry as a Judicial Test for Partisan Gerrymandering after LULAC v. Perry, by Bernie Grofman and me, forthcoming in the Election Law Journal. An abstract appears below. Comments welcome!

While the Supreme Court in Bandemer v. Davis found partisan gerrymandering to be justiciable, no challenged...

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