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Consider the following. Atmospheric Altitude Pressure (meters) (psi) a P 0 14.696 1000 13.035 2000 11.530 3000 10.168 4000 8.940 5000 7.835 6000 6.843 7000

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Consider the following. Atmospheric Altitude Pressure (meters) (psi) a P 0 14.696 1000 13.035 2000 11.530 3000 10.168 4000 8.940 5000 7.835 6000 6.843 7000 5.955 8000 5.163 Bettmann/CORBIS 71 F O(a) Linearize the data. (Round your answers to five decimal places,) Atmospheric Altitude Pressure (meters) (psi) P log(P) 14.696 0 88092 X 1000 13.035 0.88451 2000 11.530 083187 X 3080 10.160 0.87922 X 4000 8.940 0.87639 X 5000 7.835 0.87338 X 6000 6.843 0.87023 X 7000 5:955 0.86700 X 8000 5 163 (b) Use linear regression to find a model of the form log(P) = ma + b. (Round all numbers to five decimal places.) log(P) X (c) Solve the equation in part (b) for P and rewrite the result in the standard form of an exponential function. (Round all numbers to five decimal places.) P X

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