GAQM CLSSGB-001 Certified Lean Six Sigma Green Belt (CLSSGB) Online Training
GAQM CLSSGB-001 Online Training
The questions for CLSSGB-001 were last updated at Oct 29,2024.
- Exam Code: CLSSGB-001
- Exam Name: Certified Lean Six Sigma Green Belt (CLSSGB)
- Certification Provider: GAQM
- Latest update: Oct 29,2024
Which statement(s) are correct for the Regression Analysis shown here? (Note: There are 2 correct answers).
- A . This Regression is an example of a Multiple Linear Regression.
- B . This Regression is an example of Cubic Regression.
- C . %Cu explains the majority of the process variance in heat flux.
- D . Thickness explains over 80% of the process variance in heat flux.
- E . The number of Residuals in this Regression Analysis is 26.
The Regression Model for an observed value of Y contains the term? o which represents the Y axis intercept when X = 0.
- A . True
- B . False
Which statement(s) are true about the Fitted Line Plot shown here? (Note: There are 2 correct answers).
- A . When Reactant increases, the Energy Consumed increases.
- B . The slope of the equation is a positive 130.5.
- C . The predicted output Y is close to -18 when the Reactant level is set to 6.
- D . Over 85 % of the variation of the Energy Consumed is explained by the Reactant via this Linear Regression.
After reviewing the Capability Analysis shown here select the statement(s) that are untrue.
- A . The process is properly assumed to be a Normal process
- B . The Mean of the process moving range is 1.78
- C . The process is out of Control
- D . This Capability Analysis used subgroups
- E . Majority of the dimensional values are outside of the tolerance than within
The actual experimental response data varied somewhat from what a Belt had predicted them to be. This is the result of which of these?
- A . Inefficiency of estimates
- B . Residuals
- C . Confounded data
- D . Gap Analysis
Multiple Linear Regressions (MLR) is best used when which of these are applicable? (Note: There are 3 correct answers).
- A . Non-linear relationships between the inputs X’s and output Y
- B . Uncertainty in the slope of the linear relationship between an X and a Y
- C . Relationships between Y (output) and more than one X (Input)
- D . Preventing the use of a Designed Experiment if unnecessary
- E . We assume that the X’s are independent of each other
The generation of a Regression Equation is justified when we _____________. (Note: There are 4 correct answers).
- A . Expect the relationship to be Linear between the output and inputs
- B . Know that there is a non-linear relationship between output and input(s)
- C . Need to understand how to control a process output by controlling the input(s)
- D . Experience several process defects and have no other way to fix hem
- E . When it is very expensive or too late to measure the output
Which statement(s) are correct for the Regression Analysis shown here? (Note: There are 2 correct answers).
- A . This Regression is an example of a Multiple Linear Regression.
- B . This Regression is an example of Cubic Regression.
- C . %Cu explains the majority of the process variance in heat flux.
- D . Thickness explains over 80% of the process variance in heat flux.
- E . The number of Residuals in this Regression Analysis is 26.
The Regression Model for an observed value of Y contains the term ?o which represents the Y axis intercept when X = 0.
- A . True
- B . False
Which statement(s) are true about the Fitted Line Plot shown here? (Note: There are 2 correct answers).
- A . When Reactant increases, the Energy Consumed increases.
- B . The slope of the equation is a positive 130.5.
- C . The predicted output Y is close to -18 when the Reactant level is set to 6.
- D . Over 85 % of the variation of the Energy Consumed is explained by the Reactant via this Linear Regression.
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