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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 ___________________________.

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.

Question 83

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

Question 84

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

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.

Question 86

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

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 _________.

Question 88

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

Question 89

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

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

Question 81

A valid mathematical Regression represents all of the characteristics shown except

___________________________.

The residuals when plotted follow a Normal Distribution

The sum of the residuals is zero

All of the standardized residuals will be within 3 Standard Deviations

Most standardized residuals are within 2 Standard Deviations

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Question 82

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

Positive

Monomial

Single alignment

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Question 83

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

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

MLR is conducted based on a deliberate form of experimentation

The Residuals from MLR analysis have to be Normally Distributed

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Question 84

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

The independent variable is the reactant

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

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

When the reactant increases, the expected yield would increase

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Question 85

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

Sakami Table

Mean-to-Mode Analysis

Contingency Table

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Question 86

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

Correlation Coefficient equals r2

Coefficient of Determination is less than r2

Correlation Coefficient equals r divided by 2

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Question 87

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 lower than others

All Residuals within 2 Standard Deviations of the Mean

Residuals will represent a Linear Regression

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Question 88

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

The dependent variable is the outside temperature

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 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

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Question 89

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

Extreme tails

Outliers

Multiple Modes

All of the above

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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 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.

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.

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Total 369 questions