Six Sigma Six Sigma Certifications CLSSBB Questions & Answers

• Question 271:

  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. The Residuals from MLR analysis have to be Normally Distributed

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

  E. It is not possible to evaluate interactions in a MLR analysis

  Correct Answer: D

• Question 272:

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

  

  A. The independent variable is the reactant

  B. If the reactant was 10 units, with 95% confidence we would expect a minimum yield of 148 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 6 and 8 units yields around 40 to 60

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

  Correct Answer: D

• Question 273:

  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. Residuals will represent a Linear Regression

  C. All Residuals within 2 Standard Deviations of the Mean

  D. Some Residuals lower than others

  Correct Answer: B

• Question 274:

  Choose those characteristics of a Simple Linear Regression (SLR) Analysis that are applicable. (Note: There are 3 correct answers).

  A. The Correlation Coefficient is always greater than the Regression Coefficient in a SLR

  B. General Regression Analysis deals only with Continuous Data

  C. Non-linear Regressions can explain curvature when with more statistical confidence than Linear Regressions

  D. SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation

  E. A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation

  Correct Answer: ADE

• Question 275:

  For the data set shown here which of these statements is/are true?

  

  A. Hypothesis Testing of Means or Medians cannot be done since there are an unequal number of observations for the 3 samples

  B. A Paired T-test would be applicable for comparing Grade B and Grade A since they follow each other in the data set

  C. Grade A has the lowest sample Mean of the 3 samples

  D. Grade A has a higher sample Mean than Grade B

  Correct Answer: C

• Question 276:

  Which statement is 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 277:

  A(n) ______________ is best used to compare a Machine 1 average quality characteristic to the same quality characteristic of Machine 2.

  A. 1-Sample t-test

  B. 2-Sample t-test

  C. F test

  D. ANOVA test

  Correct Answer: B

• Question 278:

  Which statement(s) are correct about the DOE Factorial plot output here? (Note: There are 3 correct answers).

  

  A. Two factors were operated at 3 levels each

  B. The highest tool age was achieved with metal hardness at high level while keeping the cutting speed at the low level

  C. The design indicated above is a 32 factorial design

  D. The cutting speed and cutting angle are at the low level for the least tool age achieved

  E. All factors had 2 levels in the experiment

  Correct Answer: BCE

• Question 279:

  A Factorial Experiment based on a Level 2 Design with 4 factors would require 16 runs to fully assess the interactions.

  A. True

  B. False

  Correct Answer: A

• Question 280:

  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