The electric power consumed each month by a chemical plant is thought to be related to the

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The electric power consumed each month by a chemical plant is thought to be related to the average ambient temperature (x1), the number of days in the month (x2), the average product purity (x3), and the tons of product produced (x4). The past year€™s historical data are available and are presented in the following table:
(a) Fit a multiple linear regression model to these data.
(b) Estimate σ2.
(c) Compute the standard errors of the regression coefficients.
(d) Predict power consumption for a month in which X1 =75OF, x2 = 24 days, x3 = 90%, and x4 = 98 tons.
y: Miles/gallon
x1: Displacement (cubic inches)
x2: Horsepower (foot-pounds)
x3: Torque (foot-pounds)
x4: Compression ratio
x5: Rear axle ratio
x6: Carburetor (barrels)
x7: No. of transmission speeds
x8: Overall length (inches)
x9: Width (inches)
x10: Weight (pounds)
x11: Type of transmission (A€”automatic, M€”manual)


X2 X3 X4 240 25 24 91 100 236 31 21 90 95 270 45 24 88 110 274 60 25 87 88 301 65 25 91 94 316 72 26 94 99 300 80 25 87

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Probability & Statistics For Engineers & Scientists

ISBN: 9780130415295

7th Edition

Authors: Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying

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