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 E(y) o 1 x 1 2 x 2 3 x 3 A summary of the regr...

No I disagree with the bioengineers conclusion that none of the independent variables x1 x2 and x3 predict carbohydrate amount y We may assess the rel ...

A bioengineer wants to model the amount (y) of carbohydrate solubilized during steam processing of peat as

Question:

A bioengineer wants to model the amount (y) of carbohydrate solubilized during steam processing of peat as a function of temperature (x₁), exposure time (x₂), and pH value (x₃). Data collected for each of 15 peat samples were used to fit the model

E(y) =β_o + β₁x₁ + β₂x₂ + β₃x₃

A summary of the regression results follows:

Based on these results, the bioengineer concludes that none of the three independent variables, x₁, x₂, and x₃, is a useful predictor of carbohydrate amount, y. Do you agree with this statement? Explain.

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