6.) [7 points] The following table represents the price of a random sample of used Chevy Camaros, by age. Age (in years) Price (in dollars) 15.900 10.988 16,980 9,995 11,995 10,995 1 20.365 16,463 6 10.824 19.995 -- 18,650 10,488 Which should be the explanatory variable. age or price? D Age Create a scatterplot of this data. Label the axes appropriately. c. Compute the correlation coefficient between age and price. Round to 4 decimal places. d. Find the least squares regression line, rounding parameters to 3 decimal places. Sketch this line on your scatterplot from part b. e. Graph a boxplot of the residuals and a residual plot for this data, Boxplot: Residual plot: f. Based on the previous information, should this data be fit with a line? Explain why or why not