An automotive sales manager wishes to examine the relationship between age (years) and sales price ($) for used automobiles of a certain brand. The accompanying table contains data for a sample of a certain make and model that were listed for sale at a car shopping website.
b. Fit a quadratic regression model to predict price and state the quadratic regression equation.
Extracted text: w. 1 Age and Price Age 13 Price ($) 3,484 Price ($) 7,990 Price ($) 9,958 Age Age 13 5,458 3,453 4,994 6,442 5,999 5,504 6,292 6,882 7,594 6,505 6,275 6,281 9. 6,745 7,506 8,501 6,963 7,598 8,994 8,774 7,993 9,682 8,993 11,594 9,493 4 10,976 12,992 11,995 11,986 13,486 12,485 14,543 13,870 13,003 19,001 15,741 17,496 13 8. 4 12 8 4. 12 8 3 12 7 3 11 7 3 11 7 2 11 6. 6. 6. 10 10 1 10 1 9 5 Print Done