A frequent flyer was interested in the relationship between dollars spent on flying and the distance flown. She sampled 20 frequent flyers of a certain airline. She collected the number of miles flown in the previous year and the total amount of money the flyer spent. A regression line of distance flown on money spent was fit to the data: \hat y = 24000 + 10xy^​=24000+10x. One person in the sample spent $2000 and flew 42,567 miles. What would be the residual (or error) in the predicted distance this person would fly?

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