Question: A Prepare a normal probability plot of the effects Which
a. Prepare a normal probability plot of the effects. Which effects seem active? Fit a model using these effects.
b. Calculate the residuals for the model you fit in part (a). Construct a normal probability plot of the residuals and plot the residuals versus the fitted values. Comment on the plots.
c. If any factors are negligible, collapse the 25-1 design into a full factorial in the active factors. Comment on the resulting design and interpret the results.
Answer to relevant Questionsa. Verify that the design generators used were I=ACE and I = BDE. b. Write down the complete defining relation and the aliases from this design. c. Estimate the main effects. a. What type of experimental design has been used? Is it rotatable? b. Fit a quadratic model to these data. What values of and will maximize the Mooney viscosity? Consider the experiment in Exercise 8.4. Plot the residuals against the levels of factors A, B, C, and D. Also construct a normal probability plot of the residuals. Comment on these plots. In exercise Continuation of Exercise 9.11. If a Weibull distribution has a shape parameter of , it can be reasonably well approximated by a normal distribution with the same mean and variance. For the situation of Exercise 9.11, ...Consider the time to failure data in Exercise 9.19. Is the normal distribution a reasonable model for these data? Why or why not? In exercise Consider the following 20 observations on time to failure: 702, 507, 664, 491, ...
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