Information The following are regression results where Car Price is the dependent variable: Flag question Regression Statistics R2 = 0.446 Adjusted R2 = 0.441 Observations = 804 Independent Variables Coefficients Standard Error t Stat P-value Intercept 6758.76 1876.967 3.601 0.000 Mileage -0.17 0.032 -5.326 0.000 Cylinder 3792.38 683.180 5.551 0.000 Liter -787.22 867.062 -0.908 0.364 Doors -1542.75 320.456 -4.814 0.000 Cruise 6289.00 657.992 9.558 0.000 Sound -1993.80 571.776 -3.487 0.001 Leather 3349.36 597.681 5.604 0.000 Car Price is measured in dollars. The independent variables are: Mileage: number of miles the car has been driven Cylinder: number of cylinders in the engine Liter: a more specific measure of engine size Doors: number of doors Cruise: dummy variable representing whether the car has cruise control (1 = cruise, 0 = no cruise) Sound: dummy variable representing whether the car has upgraded speakers (1 = upgraded, 0 = standard) Leather: dummy variable representing whether the car has leather seats (1 = leather, 0 = cloth)