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Many manufacturing situations, for example, the production of such large and complex items as aircraft or machines, exhibit a Ieaming effect in which the production time per unit decreases as more units are produced. This is often modeled by a power curve, y = ax' b, where a and b are constants. Suppose that the accompanying data on production times for the rst ten units produced were collected from a new project at Glasgow Machine Tool. Develop a model for estimating the power curve to minimize the sum of the squared deviations of the errors. Use nonlinear optimization to find the parameters. a Click the icon to View the production times data. The model isy= (D)x(|:D. (Round to two decimal places as needed.) Production Times Data Unit Production Hours % 3,236.00 2,720.00 2,615.00 2,278.00 2,028.00 2,193.00 2,249.00 2,268.00 1,994.00 2,000.00 OLDmn-IO'JU'ILQJNA _\\