Question: Experimental Design Interpretation A single replicate 2 4 experiment is designed. The experiment has factors A, B, C, and D, each of which can be

Experimental Design Interpretation

A single replicate 24 experiment is designed. The experiment has factors A, B, C, and D, each of which can be set to +1 or -1. We conduct a single replicate of this experiment, collecting the response for each possible combination of factor settings. We compute the factorial and interaction effects from this data, and determine that the following effects are significant:

  • Factorial Effect C = -6.715
  • Factorial Effect D = -12.108
  • Interaction Effect CD = 9.452

Compute the residuals for this model; which of the following normal probability plots represent these residuals?

Treatment Combination Factor A Factor B Factor C Factor D Response
-1 -1 -1 -1 -1 5.18
d -1 -1 -1 1 -15.21
c -1 -1 1 -1 -11.14
cd -1 -1 1 1 -14.26
b -1 1 -1 -1 5.71
bd -1 1 -1 1 -17.64
bc -1 1 1 -1 -11.95
bcd -1 1 1 1 -13.21
a 1 -1 -1 -1 4.39
ad 1 -1 -1 1 -16.52
ac 1 -1 1 -1 -10.68
acd 1 -1 1 1 -13.13
ab 1 1 -1 -1 5.2
abd 1 1 -1 1 -16.39
abc 1 1 1 -1 -10.42
abcd 1 1 1 1 -14.21

Group of answer choices

Experimental Design Interpretation A single replicate 24 experiment is designed. The experiment

has factors A, B, C, and D, each of which can be

2.0 1.5 1.0 . 0.5 0.0 -0.5 -1.0 -1.5 -2.8.0 0.2 0.4 0.6 0.8 1.0 Residuals 1.2 1.4 1.6 2.0 1.5 1.0 0.5 0.0 : -0.5 -1.0 -1.5 -2.0, -1.5 -1.0 1.0 1.5 -0.5 0.0 0.5 Residuals 2.0 1.5 1.0 0.5 0.0 -0.5 -1.0 -1.5 -2.0 -4.0 -1.5 -1.0 -3.5 -3.0 -2.5 -2.0 Residuals 2.0 1.5 1.0 - 0.5 0.0 -0.5 -1.0 -1.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 Residuals

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