Cars lose value the farther they are driven. Heidi was curious if she could predict a car's value based on its mileage, so she collected data about the mileage (in thousands of kilometers) and value in thousands of -dollars) for a random sample of 11 cars of the same make and model. The data showed a strong negative linear relationship. Here is computer output from a least-squares regression analysis on her sample: Predictor Coef SE Coef T P Constant 39.575 0.765 51.77 0.00 Mileage -0.246 0.013 118.87 0.00 S - 1.349 R-sq = 97.26% Which of these is an appropriate least-squares equation for this model?