2 wint Click here for the Excel Data File a. Estimate the sample regression equation that enables us to predict the price of a sedan on the basis of its age and mileage. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. [If you are using R to obtain the output, then first enter the following command at the prompt: options(scipen-10). This will ensure that the output is not in scientific notation.) Price Age Miles b. Interpret the slope coefficient of Age. The slope coefficient of Age is -357.68, which suggests that for every additional year of age, the predicted price of car decreases by $357.68 Price The slope coefficient of Age is -0.09, which suggests that for every additional year of age, the predicted price of car decreases by $0.09. The slope coefficient of Age is -357.68, which suggests that for every additional year of age, the predicted price of car decreases by $357.68, holding number of miles constant. The slope coefficient of Age is -0.09, which suggests that for every additional year of age, the predicted price of car decreases by $0.09, holding number of miles constant. c. Predict the price of a three-year-old sedan with 64,000 miles. Note: Do not round intermediate calculations, Round final answer to 2 decimal places.