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Six Sigma ICBB Practice Test - Questions Answers, Page 9

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Question 81

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A valid mathematical Regression represents all of the characteristics shown except

___________________________.

The residuals when plotted follow a Normal Distribution
The residuals when plotted follow a Normal Distribution
The sum of the residuals is zero
The sum of the residuals is zero
All of the standardized residuals will be within 3 Standard Deviations
All of the standardized residuals will be within 3 Standard Deviations
Most standardized residuals are within 2 Standard Deviations
Most standardized residuals are within 2 Standard Deviations
Suggested answer: A
asked 23/09/2024
Maxwell Konetzki
31 questions

Question 82

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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.

Negative
Negative
Positive
Positive
Monomial
Monomial
Single alignment
Single alignment
Suggested answer: B
asked 23/09/2024
Paulo Cury
39 questions

Question 83

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

It is an assumption that the X's (inputs) are not correlated to each other
It is an assumption that the X's (inputs) are not correlated to each other
The X's (inputs) are assumed to be independent of each other
The X's (inputs) are assumed to be independent of each other
MLR is conducted based on a deliberate form of experimentation
MLR is conducted based on a deliberate form of experimentation
The Residuals from MLR analysis have to be Normally Distributed
The Residuals from MLR analysis have to be Normally Distributed
Suggested answer: C
asked 23/09/2024
Felomino Bacquiano II
48 questions

Question 84

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

Six Sigma ICBB image Question 84 72310 09232024004306000000

The independent variable is the reactant
The independent variable is the reactant
If the reactant was 6 units, with 95 % confidence we would expect a minimum yield of 100 units
If the reactant was 6 units, with 95 % confidence we would expect a minimum yield of 100 units
With at least 95% confidence, we can expect less than 10 units of Yield when the reactant is at a value of 1
With at least 95% confidence, we can expect less than 10 units of Yield when the reactant is at a value of 1
A reactant value between 2 and 4 units yields around 20 to 40
A reactant value between 2 and 4 units yields around 20 to 40
When the reactant increases, the expected yield would increase
When the reactant increases, the expected yield would increase
Suggested answer: D
asked 23/09/2024
André Batista
48 questions

Question 85

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

Z score Table
Z score Table
Sakami Table
Sakami Table
Mean-to-Mode Analysis
Mean-to-Mode Analysis
Contingency Table
Contingency Table
Suggested answer: C
asked 23/09/2024
Thomas Kringel
43 questions

Question 86

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

r2 value is smaller than the absolute value of r
r2 value is smaller than the absolute value of r
Correlation Coefficient equals r2
Correlation Coefficient equals r2
Coefficient of Determination is less than r2
Coefficient of Determination is less than r2
Correlation Coefficient equals r divided by 2
Correlation Coefficient equals r divided by 2
Suggested answer: A
asked 23/09/2024
shridhar deshpande
42 questions

Question 87

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

Some Residuals higher than others
Some Residuals higher than others
Some Residuals lower than others
Some Residuals lower than others
All Residuals within 2 Standard Deviations of the Mean
All Residuals within 2 Standard Deviations of the Mean
Residuals will represent a Linear Regression
Residuals will represent a Linear Regression
Suggested answer: D
asked 23/09/2024
Ramzi Smair
39 questions

Question 88

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

Six Sigma ICBB image Question 88 72314 09232024004306000000

The dependent variable is the outside temperature
The dependent variable is the outside temperature
The relationship between outside temperature and number of customers per hour is a Linear Regression
The relationship between outside temperature and number of customers per hour is a Linear Regression
The dashed lines indicate with 95% confidence where all of the process data should fall between
The dashed lines indicate with 95% confidence where all of the process data should fall between
The dashed lines indicate with 95% confidence the estimate for the Quadratic Regression Line
The dashed lines indicate with 95% confidence the estimate for the Quadratic Regression Line
The predicted number of customers per hour is close to 5 if the outside temperature is 10 deg C
The predicted number of customers per hour is close to 5 if the outside temperature is 10 deg C
Suggested answer: D, E
asked 23/09/2024
AN KANGWOOK
51 questions

Question 89

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Which of these might contribute to similar distributions having Unequal Variance?

Extreme tails
Extreme tails
Outliers
Outliers
Multiple Modes
Multiple Modes
All of the above
All of the above
Suggested answer: D
asked 23/09/2024
Mattie Hendricks
50 questions

Question 90

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A Belt working in a supply chain environment has to make a decision to change suppliers of critical raw materials for a new product upgrade. The purchasing manager is depending on the Belt's effort requiring that the average cost of an internal critical raw material component be less than or equal to $4,200 in order to stay within budget. Using a sample of 35 first article components, a Mean of the new product upgrade price of $4,060, and a Standard Deviation of $98 was estimated. Select the answer that best states the Practical Problem.

If the average cost per component is $4,200 or less, then the purchase manager will introduce the new product upgrade with new components.
If the average cost per component is $4,200 or less, then the purchase manager will introduce the new product upgrade with new components.
If the average cost per component is greater than $4,200, then the purchase manager will introduce the new product upgrade with new components.
If the average cost per component is greater than $4,200, then the purchase manager will introduce the new product upgrade with new components.
Only if the average cost per product upgrade is $4,060, will the purchase manager introduce new product upgrades with new components.
Only if the average cost per product upgrade is $4,060, will the purchase manager introduce new product upgrades with new components.
If the average cost per new product upgrade is less than $180, then the purchase manager will introduce the new product upgrade with new components.
If the average cost per new product upgrade is less than $180, then the purchase manager will introduce the new product upgrade with new components.
Suggested answer: C
asked 23/09/2024
javier mungaray
43 questions
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Related questions

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The Japanese born function of a Kanban event utilizes a specific, step-by-step approach meant to bring about major changes to a process.
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The Normal Distribution is considered to be the most important distribution in statistics and, among other things is defined as having a total area under the curve of 1, is mounded and symmetrical and the Mean, Median and Mode are _____________.
Suppose a purchase order is inspected for the supplier address, quantity as per indent, price as per indent, and time to deliver. The inspection results for a set of 100 purchase orders are given in the table below. What is the DPMO?
Which of the following awards was initially presented to organizations in Japan?