12. After running a Full Factorial Designed Experiment the ANOVA analysis shows the P value for the Center Point contribution is 0.030. Based on your analysis what should you do in order to generate a model to find the optimal input conditions to maximize the response?

1. Center Points already model the curvature so they do NOT need to be included in the model
2. Include Center Points in the Response Surface Model
3. Exclude Center Points in the Response Surface Model
4. Re-run the Designed Experiment as the P-value can never be less than alpha
5. Include blocks in the Response Surface Model
6. Include Replicates in the Response Surface Model

13. What does a graphical analysis of Residuals versus the Order of the Data reveal?

1. The Residuals are Normally Distributed
2. Checks that Residual Variance is constant in the Y space
3. Checks for time related factors influencing Residual value
4. Checks that the Residua l Variance is constant in the X space

14. In the generic mathematical model for the medicine trial, Y = bo + b1A + b2B + b3AB +

block + error, which of the following can you eliminate based on your ANOVA analysis?

Note: A = Dosage, B = Time

	Term	Effect	coefficient	SE Coef	T-Value	P-Value
	Constant		22.705	0.355	91.63	0.000
	Blocks
	1		0.091	0.355	-0.22	0.099
	Gender	-11.205	0.802	0.355	-14.14	0.000
	Dosage	-7.000	-7.742	0.355	5.56	0.652
	Time	8.500	-3.000	0.701	8.81	0.000
	Dos age * Ti me	-9.201	-0.622	0.688	-8.07	0.002
	Center Point		0.501	0.902	0.55	0.279
a.	b1A only
b.	b2B only
C. d.	b3AB only Blocks
e.	b3AB and blocks

f. bo only