A population regression equation is: log(Y) = Bo + B1Log(X1) + B2Log(X2) + B3X3 Suppose that B1 is equal to 2.5. This coefficient estimate shows that: O after accounting for the influences of X2 and X3, a one point increase in X1 on average results in a 2.5 point increase in Y O after accounting for the influences of X2 and X3, a one point increase in X1 on average results in a 2.5 percent increase in Y C after accounting for the influences of X2 and X3, a one percent increase in X, on average results in a 2.5 percent increase in Y O after accounting for the influences of X2 and X3, a 2.5 percent increase in X, on average results in a 1.0 percent increase in Y