The accompanying table shows a portion of data consisting of the selling price, the age, and the mileage for 20 used sedans. selling price agemiles 6 61,472 5 54,380 13,632 13,793 11,923 8 42,364 click here for the excel data file a. determine the sample regression equation that enables us to predict the price of a sedan on the basis of its age and mileage. (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-51716, which suggests that for every additional year of age, the predicted price of car decreases by $517.16 othe slope coefficient of age is -0.07, which suggests that for every additional year of age, the predicted price of car decreases by $0.07 the slope coefficient of age is -51716, which suggests that for every additional year of age, the predicted price of car decreases by $517.16, holding number of miles constant the slope coefficient of age is-007, which suggests that for every additional year of age, the predicted price of car decreases by $0.07, holding number of miles constant c. predict the selling price of a eight-year-old sedan with 67,000 miles. (round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places.) pr ice = $