Consider the following computer output from a multiple regression analysis relating the price of a used car to the variables: age of car, mileage, and safety rating.

Coefficients Standard Error t Stat P-value
Intercept 45205.41 5456.70 8.284 0.0000
Age (Year) −23013.84 2757.66 −8.345 0.0000
Mileage
(in Thousands) −1421.51 110.72 −12.839 0.0000
Safety Rating 1625.20 176.77 9.194 0.0000

Does the sign of the coefficient for the variable safety rating make sense?
(a) Yes, because it is expected that as safety rating increases then the price should also increase.
(b) Yes, because it is expected that as safety rating increases then the price should decrease.
(c) No, because it is expected that as safety rating increases then the price should decrease.
(d) No, because it is expected that as safety rating increases then the price should also increase.