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Suppose an article included the accompanying data on airline quality score and a ranking based on...

Suppose an article included the accompanying data on airline quality score and a ranking based on the number of passenger complaints per 100,000 passengers boarded. In the complaint ranking, a rank of 1 is best, corresponding to fewest complaints. Similarly, for the quality score, lower scores correspond to higher quality. Airline Passenger Complaint Rank Airline Quality Score Airtran 6 4 Alaska 2 3 American 8 7 Continental 7 5 Delta 12 8 Frontier 5 6 Hawaiian 3 Not rated JetBlue 4 1 Northwest 9 Not rated Southwest 1 2 United 11 9 US Airways 10 10 Two of the airlines did not have an airline quality score. Use the ranks for the other 10 airlines to fit a least-squares regression line. (Let x = passenger complaint rank and y = airline quality score. Round your values to three decimal places.) ŷ = 3.24 Incorrect: Your answer is incorrect. + .711 Incorrect: Your answer is incorrect. x

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line equation:Yhat=0.778+0.715x

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