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ICGB – IASSC Certified Lean Six Sigma Green Belt

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Showing 1–3 of 10 questions

Question 1

Multiple Linear Regressions (MLR) is best used when which of these are applicable? (Note: There are 3 correct answers).

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    Non-linear relationships between the inputs X’s and output Y
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    Uncertainty in the slope of the linear relationship between an X and a Y
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    Relationships between Y (output) and more than one X (Input)
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    Preventing the use of a Designed Experiment if unnecessary
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    We assume that the X’s are independent of each other
Question 2

Which statement(s) are correct for the Regression Analysis shown here? (Note: There are 2 correct answers).

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    This Regression is an example of a Multiple Linear Regression.
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    This Regression is an example of Cubic Regression.
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    %Cu explains the majority of the process variance in heat flux.
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    Thickness explains over 80% of the process variance in heat flux.
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    The number of Residuals in this Regression Analysis is 26.
Question 3

Examples of a Visual Factory include which of these? (Note: There are 2 correct answers).

Select all that apply, then click Submit answer.

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    White outlines on floor for proper inventory placement
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    Documented procedures with a numerical outline
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    Bad/Good indications of gauge readings with red and green outlines
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    Implementing a defect inspection device