A process engineer is trying to improve the processing time of a polymer used in

Question

A process engineer is trying to improve the processing time of a polymer used in the coating of guidewires. He/She ran an experiment using Temperature(A), Pressure(B), and Humidity (C)as the factors. The data from three replicates(in minutes) is shown below. records and decide which of them will process faster a list of 100,000 records. Do any of the three factors processing time? What combination of factor levels produces the shortest processing time? What is the regression model for this data? Find the residuals for the processing time. Construct a normal probability plot of the residuals. Plot the residuals versus the predicted values. Comment on die plots

Explanation / Answer

a. Yes, since with the use of temperature (A), Pressure (B), Humidity(C) there is a change in the processing time of the polymer.

b. As the data suggests, use of pressure (B) only produces the shortest processing time of the polymer as in replicates I, II, III with pressure is 348,342,356 respectively.

c. Two types of regression model for this data : single parameter (a,b,c) & multi-parameter.(ab,bc,ac,abc)

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