6.39. An article in Quality and Reliability Engineering International (2010, Vol. 26, pp. 223–233) presents a 25 factorial design. The experiment is shown in Table P6.12.

(a) Analyze the data from this experiment. Identify the significant factors and interactions.

(b) Analyze the residuals from this experiment. Are there any indications of model inadequacy or violations of the assumptions?

(c) One of the factors from this experiment does not seem to be important. If you drop this factor, what type of design remains? Analyze the data using the full factorial model for only the four active factors. Compare your results with those obtained in part (a).

(d) Find settings of the active factors that maximize the predicted response.

Transcribed Image Text:

A B C D E y -1.00 -1.00 -1.00 -1.00 -1.00 8.11 1.00 -1.00 -1.00 -1.00 -1.00 5.56 -1.00 1.00 -1.00 -1.00 -1.00 5.77 1.00 1.00 -1.00 -1.00 -1.00 5.82 -1.00 -1.00 1.00 -1.00 -1.00 9.17 1.00 -1.00 1.00 -1.00 -1.00 7.8 -1.00 1.00 1.00 -1.00 -1.00 3.23 1.00 1.00 1.00 -1.00 -1.00 5.69 -1.00 -1.00 -1.00 1.00 -1.00 8.82 1.00 -1.00 -1.00 1.00 -1.00 14.23 -1.00 1.00 -1.00 1.00 -1.00 9.2 1.00 1.00 -1.00 1.00 -1.00 8.94 -1.00 -1.00 1.00 1.00 -1.00 8.68 1.00 -1.00 1.00 1.00 -1.00 11.49 -1.00 1.00 1.00 1.00 -1.00 6.25 1.00 1.00 1.00 1.00 -1.00 9.12 -1.00 -1.00 -1.00 -1.00 1.00 7.93 1.00 -1.00 -1.00 -1.00 1.00 5 -1.00 1.00 -1.00 -1.00 1.00 7.47 1.00 1.00 -1.00 -1.00 1.00 12 -1.00 -1.00 1.00 -1.00 1.00 9.86 1.00 -1.00 1.00 -1.00 1.00 3.65 -1.00 1.00 1.00 -1.00 1.00 6.4 1.00 1.00 1.00 -1.00 1.00 11.61 -1.00 -1.00 -1.00 1.00 1.00 12.43 1.00 -1.00 -1.00 1.00 1.00 17.55 -1.00 1.00 -1.00 1.00 1.00 8.87 1.00 1.00 -1.00 1.00 1.00 25.38 -1.00 -1.00 1.00 1.00 1.00 13.06 1.00 -1.00 1.00 1.00 1.00 18.85 -1.00 1.00 1.00 1.00 1.00 11.78 1.00 1.00 1.00 1.00 1.00 26.05