15. Match each experiment design to its description. Answer Description Correlation matrix Resolution III Resolution V Generator Folding Confounding Half-fractional factorial Resolution IV Pareto chart of effects Plackett-Burman (a) Describes how a term in a model gets contributions from/ is polluted by other terms in the model (b) Method of adding runs to a Resolution III design to make it Resolution IV (c) Bar chart of effect size or t statisic used to display coefficient magnitude and signifi- cance (d) Design that confounds main effects with two-factor interactions (e) Design that confounds main effects with four-factor interactions (f) Design that confounds two-factor interactions with each other (g) Experiment design with one-half of the runs from a full-factorial design (h) Confounding relation used to create additional columns (one or more) of factor levels in a fractional factorial design (i) Reveals the degree of confounding between all of the terms that could be included in a model (j) Experiment design with an integer multiple of 4 runs that can have Runs - 1 study variables