# Get all latest (August) ASQ CSSGB Actual Test 21-30

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QUESTION 21

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.

Correct Answer: AD

QUESTION 22

The Regression Model for an observed value of Y contains the term which represents the Y axis intercept when X = 0.

 A. True B. False

Correct Answer: A

QUESTION 23

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.

Correct Answer: CD

QUESTION 24

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

Correct Answer: A

QUESTION 25

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

Correct Answer: B

QUESTION 26

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

Correct Answer: CDE

QUESTION 27

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

Correct Answer: ACDE

QUESTION 28

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.

Correct Answer: AD

QUESTION 29

The Regression Model for an observed value of Y contains the term which represents the Y axis intercept when X = 0.

 A. True B. False

Correct Answer: A

QUESTION 30

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.

Correct Answer: CD

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