Here I simply added a single dummy variable, Nonwhite (1 for non-whites, 0 for whites). This is a very simple way to do it. It does not take into account the slopes of the other variables regarding race. And it just lumps blacks and Hispanics into one group.
Anyway, the results were about the same in terms of r-squared and the coefficient values. Below are the new coefficient values. Notice that Nonwhite, although negative, has an extremely small value (it also was not statistically significant with a t-value of -.125). It means that being non-white would lower your predicted vote by .136 percentage points. So where a white guy would get 50.136%, a non-white would get 50%.
Variable b Coeff.
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Constant -0.01223
WSAS/1000 0.00112
GGAS/1000 0.06243
MVP 0.04821
3000 HIT 0.45176
500 HR 0.16757
ASSQ10 0.00216
GGSQ7 -0.00122
500SB 0.04949
WSIMPSQ50/10 -0.01188
10000PA 0.09924
Nonwhite -0.00136
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