Six Sigma LSSGB Exam (page: 5)
Six Sigma Lean Green Belt
Updated on: 25-Dec-2025

Viewing Page 5 of 34

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

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

Answer(s): A,D



The Regression Model for an observed value of Y contains the term β which represents the Y axis intercept when X = 0.

  1. True
  2. False

Answer(s): A



Which statement(s) are true about the Fitted Line Plot shown here? (Note: There are 2 correct answers).

  1. When Reactant increases, the Energy Consumed increases.
  2. The slope of the equation is a positive 130.5.
  3. The predicted output Y is close to -18 when the Reactant level is set to 6.
  4. Over 85 % of the variation of the Energy Consumed is explained by the Reactant via this Linear Regression.

Answer(s): C,D



After reviewing the Capability Analysis shown here select the statement(s) that are untrue.

  1. The process is properly assumed to be a Normal process
  2. The Mean of the process moving range is 1.78
  3. The process is out of Control
  4. This Capability Analysis used subgroups
  5. Majority of the dimensional values are outside of the tolerance than within

Answer(s): A



The actual experimental response data varied somewhat from what a Belt had predicted them to be. This is the result of which of these?

  1. Inefficiency of estimates
  2. Residuals
  3. Confounded data
  4. Gap Analysis

Answer(s): B



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