Using a Sample of 100 Consumers,a Double-Log Regression Model Was

Multiple Choice

Using a sample of 100 consumers,a double-log regression model was used to estimate demand for gasoline.Standard errors of the coefficients appear in the parentheses below the coefficients.
$\operatorname { Ln } \mathrm { Q } = 2.45 - 0.67 \operatorname { Ln } \mathrm { P } + .45 \operatorname { Ln } \mathrm { Y } - .34 \operatorname { Ln } \mathrm { P } _ { \text {cars } }$
$\begin{array} { l l l }( .20 ) & ( .10 ) & ( .25 ) \end{array}$

A) Gasoline is inelastic.
B) Gasoline is a normal good.
C) Cars and gasoline appear to be mild complements.
D) The coefficient on the price of cars (P_cars) is insignificant.
E) All of the coefficients are insignificant.