@KirkegaardEmil In multiple regression, the multiple R for explaining S is about .60. Higher than the state-level of about .40.
The odd population dynamics of US counties: the relationship between race/ethnicity and general socioeconomic factorpic.twitter.com/6H871lCC73
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Thanks. Twitter will use this to make your timeline better. UndoUndo
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@KirkegaardEmil Assuming the drop off for Whites isn't just noise, too White = place no one wants to be (Maine, for instance). -
@JayMan471 Not noise. Huge sample (N=3143). It's old white areas in the country. High S areas has mostly W + Asians + a few of the others. -
@JayMan471 Look them up: Tucker County, West Virginia; Wolfe County, Kentucky; Owsley County, Kentucky. White trash. :p -
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@KirkegaardEmil Applachia! :) -
@JayMan471 The bigger explanatory challenge is explaining the "other race". I've never seen a third degree polynomial before... -
@KirkegaardEmil The composition of "other race" probably varies greatly from county to county.
End of conversation
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