Suppose a logistic regression analysis of some data for restaurants gave the following result, in terms of L, which here represents the logit, that is, the log odds, lnOdds. L(x1, x2) = .3 .2x1 .1x2, where Y = 1 denotes closing within one year of startup, Y = 0 denotes staying in business more than one year , X1 = 1 if franchised, 0 if not, X2 = 1 if a fast-food restaurant, 0 if not, Px = Pr{Y = 1 | x1, x2}, Qx = Pr{Y = 0 | x1, x2}, L(x1, x2) = ln(Px1,x2 /Qx1,x2 ) = logit(Px1,x2 ) 1. What is the value of L(0, 1) ? (A) .1 (B) .2 (C) .3 (D) .4 (E) .5