The following are regression results where Car Price is the dependent variable: Regression Statistics R2 = 0.446 Adjusted R2 0.441 Observations = 804 Independent Variables Coefficients Standard Error Intercept Mileage Cylinder Liter Doors Cruise Sound Leather 6768.76 -0.17 3792.38 -787.22 -1542.75 6289.00 -1993.80 3349.36 1876.967 0.032 683180 867_062 320.456 657_992 571.776 597.681 t Stat 3.601 -5.326 5551 -0.908 -4.814 9.558 -3 487 5604 P-value 0.000 0.000 0.000 0.364 0.000 0.000 0.001 o_ooo 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, O = cloth)