Following are age and price data for 10 randomly selected Corvettes between 1 and 6 years old. Here, x denotes age, in years, and y denotes price, in hundreds of d data and the regression equation y = 446.875 - 25.375x, complete parts (a) through (d) below. X 6 5 6 2 2 4 4 6 1 6 y 297 285 283 412 398 307 342 323 431 325 Click the icon to view the table of normal scores. . . . a. Compute the standard error of the estimate and interpret your answer. Se = (Round to three decimal places as needed.) Interpret your result for Se . Choose the correct interpretation below. O A. The predicted price of a car in the sample will differ, on average, from the observed price by an amount equal to the standard error of the estimate, in hundreds of O B. Approximately 95% of cars in the population have an actual price that differs from the predicted price by at most an amount equal to the standard error of the estir O C. The actual price of a single randomly selected car will differ, on average, from the predicted price by an amount equal to the standard error of the estimate, in hun O D. Approximately 95% of cars in the sample have an actual price that differs from the predicted price by at most an amount equal to the standard error of the estimate b. Interpret your result from part (a) if the assumptions for regression inferences hold. Choose the correct interpretation below. O A. Presuming that the variables age and price for Corvettes satisfy the assumptions for regression inferences, the standard error of the estimate provides an estimate