GAQM CLSSBB-001 Exam Questions
Certified Lean Six Sigma Black Belt (CLSSBB) (Page 8 )

Updated On: 15-Feb-2026

When a Belt conducts a Linear Correlation Analysis and finds that as an X increases the Y also increase then he has proven a ____________correlation.

  1. Negative
  2. Positive
  3. Monomial
  4. Single alignment

Answer(s): B



A valid Multiple Linear Regression (MLR) is characterized by all of these except____________.

  1. It is an assumption that the X’s (inputs) are not correlated to each other
  2. The X’s (inputs) are assumed to be independent of each other
  3. MLR is conducted based on a deliberate form of experimentation
  4. The Residuals from MLR analysis have to be Normally Distributed

Answer(s): C



Which statement is NOT correct about the Fitted Line Plot shown here?

  1. The independent variable is the reactant
  2. If the reactant was 6 units, with 95 % confidence we would expect a minimum yield of 100 units
  3. With at least 95% confidence, we can expect less than 10 units of Yield when the reactant is at a value of 1
  4. A reactant value between 2 and 4 units yields around 20 to 40
  5. When the reactant increases, the expected yield would increase

Answer(s): D



When doing Hypothesis Testing on Non-normal data Belts will use a_________________to compare more than two sample proportions to each other.

  1. Z score Table
  2. Sakami Table
  3. Mean-to-Mode Analysis
  4. Contingency Table

Answer(s): C



It would be more likely than not for a Belt conducting a Regression Analysis to find that the
__________________.

  1. r2 value is smaller than the absolute value of r
  2. Correlation Coefficient equals r2
  3. Coefficient of Determination is less than r2
  4. Correlation Coefficient equals r divided by 2

Answer(s): A






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