Henry ran a regression to estimate ln( ) ln( ) ln( ) ln( ) 0 1 2 3 4 q b b p b p b p b Inc X = + X + Y + Z + , where X q denotes quantity of "good x," X p denotes price of "good x," Y p denotes price of "good y," Z p denotes price of "good z," and Inc denotes per capita Income in the market for "good x." His estimated coefficient values are 4.39 b0 = , 1.59 b1 = , 0.27 b2 = , 0.32 b3 = , and 0.52 b4 = . These results would suggest that A. "good x" is an inferior good. B. "good x" is a complement to "good y." C. "good x" is a complement to "good z." D. More than one (perhaps all) of the above answers is correct.