Six Sigma Six Sigma Certifications CLSSBB Questions & Answers

• Question 121:

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

  

  A. The independent variable is the reactant

  B. If the reactant was 6 units, with 95 % confidence we would expect a minimum yield of 100 units

  C. With at least 95% confidence, we can expect less than 10 units of Yield when the reactant is at a value of 1

  D. A reactant value between 2 and 4 units yields around 20 to 40

  E. When the reactant increases, the expected yield would increase

  Correct Answer: D

• Question 122:

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

  

  A. The air-fuel ratio explains most of the TurbineOutput variation

  B. The Regression explains over 98% of the process variation

  C. This Multiple Linear Regression has three statistically significant independent variables

  D. If the air-fuel ratio increases by 1, the TurbineOutput more than triples

  E. The SteamExitTemp explains the most variation of the TurbineOutput

  Correct Answer: DE

• Question 123:

  Which statement(s) are most correct for the Regression Analysis shown here?

  

  A. The Regression explains 50.8% of the process variation

  B. The air-fuel ratio explains most of the TurbineOutput variation

  C. This Simple Linear Regression explains 98+% of the process variation

  D. This Multiple Linear Regression has four statistically significant independent variables

  Correct Answer: B

• Question 124:

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

  A. r2 value is smaller than the absolute value of r

  B. Correlation Coefficient equals r2

  C. Coefficient of Determination is less than r2

  D. Correlation Coefficient equals r divided by 2

  Correct Answer: A

• Question 125:

  When a Belt properly analyzes the results of an experiment he must examine the Residuals in expectation of finding all of the following except _________.

  A. Some Residuals higher than others

  B. Some Residuals lower than others

  C. All Residuals within 2 Standard Deviations of the Mean

  D. Residuals will represent a Linear Regression

  Correct Answer: D

• Question 126:

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

  A. Z score Table

  B. Sakami Table

  C. Mean-to-Mode Analysis

  D. Contingency Table

  Correct Answer: C

• Question 127:

  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.

  A. Negative

  B. Positive

  C. Monomial

  D. Single alignment

  Correct Answer: B

• Question 128:

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

  A. It is an assumption that the X's (inputs) are not correlated to each other

  B. The X's (inputs) are assumed to be independent of each other

  C. MLR is conducted based on a deliberate form of experimentation

  D. The Residuals from MLR analysis have to be Normally Distributed

  Correct Answer: C

• Question 129:

  A valid mathematical Regression represents all of the characteristics shown except ___________________________.

  A. The residuals when plotted follow a Normal Distribution

  B. The sum of the residuals is zero

  C. All of the standardized residuals will be within ? Standard Deviations

  D. Most standardized residuals are within ? Standard Deviations

  Correct Answer: A

• Question 130:

  Screening experiments are the proper choice when a Belt is faced with the situation of highly Fractional Factorial Designs.

  A. True

  B. False

  Correct Answer: A