TABLE 13-12 As a Project for His Business Statistics Class, a Student

TABLE 13-12
As a project for his business statistics class, a student examined the factors that determined parking meter rates throughout the campus area. Data were collected for the price per hour of parking, blocks to the quadrangle, and one of the three jurisdictions: on campus, in downtown and off campus, or outside of downtown and off campus. The population regression model hypothesized is
Yi = α + β1X1i + β2X2i + β3X3i + ε
where
Y is the meter price
X1 is the number of blocks to the quad
X2 is a dummy variable that takes the value 1 if the meter is located in downtown and off campus and the value 0 otherwise
X3 is a dummy variable that takes the value 1 if the meter is located outside of downtown and off campus, and the value 0 otherwise
The following Microsoft Excel results are obtained.

-Referring to Table 13-12, what is the correct interpretation for the estimated coefficient for X₂?

A) Holding the effect of the other independent variables constant, the estimated mean difference in costs between parking on campus, and parking outside of downtown and off campus is $0.24 per hour.
B) Holding the effect of the other independent variables constant, the estimated mean difference in costs between parking in downtown and off campus, and parking on campus is $0.24 per hour.
C) Holding the effect of the other independent variables constant, the estimated mean difference in costs between parking in downtown and off campus, and parking outside of downtown and off campus is $0.24 per hour.
D) Holding the effect of the other independent variables constant, the estimated mean difference in costs between parking in downtown and off campus, and parking either outside of downtown and off campus or on campus is $0.24 per hour.