Refer to the Journal of Colloid and Interface Science study of water/oil mixtures, Exercise 11.27. Recall that

Question:

Refer to the Journal of Colloid and Interface Science study of water/oil mixtures, Exercise 11.27. Recall that three of the seven variables used to predict voltage (y) were volume (x1), salinity (x2), and surfactant concentration (x5). The model the researchers fit is

E(y) = β0 + β1x1 + β2x2 + β3x5 + + β4x1x2 + β5x1x5

a. Note that the model includes interaction between disperse phase volume (x1) and salinity (x2) as well as interaction between disperse phase volume (x1) and surfactant concentration (x5). Discuss how these interaction terms affect the hypothetical relationship between y and x1. Draw a sketch to support your answer.

b. Fit the interaction model to the data. Does this model appear to fit the data better than the first-order model in Exercise 11.27? Explain.

c. Interpret the β estimates of the interaction model. 

d. Conduct a test to determine whether the interaction terms contribute significantly to the prediction of voltage (y). Use α = .05.


Data from Exercise 11.27

In the oil industry, water that mixes with crude oil during production and transportation must be removed. Chemists have found that the oil can be extracted from the water/oil mix electrically. Researchers at the University of Bergen (Norway) conducted a series of experiments to study the factors that influence the voltage (y) required to separate the water from the oil. (Journal of Colloid and Interface Science, Aug. 1995.) The seven independent variables investigated in the study are listed in the table below. (Each variable was measured at two levels—a “low” level and a “high” level.) Sixteen water/oil mixtures were prepared using different combinations of the independent variables; then each emulsion was exposed to a high electric field. In addition, three mixtures were tested when all independent variables were set to 0. The data for all 19 experiments are saved in the WATEROIL file.

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Related Book For  answer-question

Statistics For Engineering And The Sciences

ISBN: 9781498728850

6th Edition

Authors: William M. Mendenhall, Terry L. Sincich

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