Steam processing of peat. A bioengineer wants to model the amount (y) of carbohydrate solubilized during steam
Question:
Steam processing of peat.
A bioengineer wants to model the amount (y) of carbohydrate solubilized during steam processing of peat as a function of temperature (x 1 ), exposure time (x 2 ), and pH value (x 3 ). Data collected for each of 15 peat samples were used to fit the model
A summary of the regression results follows:
E ( y ) = β 0 + β 1 x 1 + β 2 x 2 + β 3 x 3
A summary of the regression results follows:
y ̂ = –3,000 + 3.2 x 1 – . x 2 – 1.1 x 3 R 2 = .93
S β̂ 1 = 2.4 S β̂ 2 = .6 S β̂ 3 = .8
r 12 = .92 r 13 = .87 r 23 = .81
Based on these results, the bioengineer concludes that none of the three independent variables, x 1 , x 2 , and x 3 , is a useful predictor of carbohydrate amount, y . Do you agree with this statement?
Based on these results. the bioengineer concludes that none of the three independent variables, x 1 , x 2 , and x 3 , is a useful predictor of carbohydrate amount. y . Do you agree with this statement? Explain.
Probability & Statistics for Engineers & Scientists
ISBN: 978-0130415295
7th Edition
Authors: Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying