labor markets may discriminate based on race. The omitted category in the regression below is white. . regress salary experience black asian notwba male EdHS EdCollege EdPostgrad Source df MS Number of obs 50,376 F (8, 50367) 1078. 80 Model 6.3304e+13 8 7.9131e+12 Prob > F 0.0060 Residual 3. 6944e+14 50, 367 7.3351e+09 R-squared 0. 1463 Adj R-squared 0. 1461 Total 4.3275e+14 50,375 8.59060+09 Root MSE 85645 salary Coefficient Std. err. t P>|t| [95% conf. interval] experience 1063. 462 31. 8123 33.43 0.000 1001.11 1125 . 815 black -12940.34 1216 .163 -10.64 0.000 -15324. 03 -10556.64 asian 334.0306 1459. 863 0.23 0. 819 -2527. 318 3195.379 notwba -8310.589 1977 .548 -4.20 0.000 -12186.6 -4434.573 male 20669.26 796.9991 25.93 0.000 19107. 13 22231.38 EdHS 19724. 19 1656.568 11.91 0.000 16477.3 22971. 08 EdCollege 64874.02 1746. 011 37.16 0.000 61451. 82 68296.22 EdPostgrad 102491.8 1848 . 442 55.45 0.000 98868. 84 106114.8 _cons 4134.299 1769.92 2.34 0.020 665.2357 7603.362 According to this regression, what is the difference in dollars per year in the data for someone black compared to someone white? Is the difference statistcially different from zero at the 1% level