Monthly Archives: December 2016

  • Don’t Let R^2 Fool You

    By Pat Whitcomb

    Has a low R2 ever disappointed you during the analysis of your experimental results? Is this really the kiss of death? Is all lost? Let’s examine R2 as it relates to factorial design of experiments (DOE) and find out.

    R2 measures are calculated on the basis of the change in the response (Δy) relative to the total variation of the response (Δy + σ) Continue reading

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