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Free IASSC Lean Six Sigma - Green Belt Exam Braindumps (page: 8)

Page 7 of 51
PDF with 200 Questions

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



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

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

Answer(s): C,D,E



The generation of a Regression Equation is justified when we _____________. (Note: There are 4 correct answers).

  1. Expect the relationship to be Linear between the output and inputs
  2. Know that there is a non-linear relationship between output and input(s)
  3. Need to understand how to control a process output by controlling the input(s)
  4. Experience several process defects and have no other way to fix hem
  5. When it is very expensive or too late to measure the output

Answer(s): A,C,D,E



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






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