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Highly fractional factorial designs are often used as:

A. Simplex designsB. Orthogonal designsC. Screening experimentsD. Mixture experiments Screening experiments In screening experiments, highly fractional factorial designs are used to look for only factor main effects. They are called screening because they try to eliminate seemingly unimportant factors.
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What is the name of the condition if you are running a 7-4 fractional experiment? You know factors A, B, C, D, and E are independent of each other, but you suspect factors F and G are not independent. You conducted a small sub-experiment and discovered a high correlation between factors F and G.

A. CollinearityB. ConfoundedC. CorrelationD. Covariates Collinearity Having two variables that are highly correlated in the experimental model will make it difficult or impossible to detect which factor really affects the response. This condition is called collinearity. The correct answer is Collinearity .
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