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
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
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
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.
The Regression Model for an observed value of Y contains the term ?o which represents the Y axis intercept when X = 0.
A. True
B. False
A Belt will occasionally do a quick experiment referred to as an OFAT which stands for ____________________.
A. Only a Few Are Tested
B. Opposite Factors Affect Technique
C. One Factor At a Time
D. Ordinary Fractional Approach Technique
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.
Fractional Factorial designs for an experimental approach are used when ____________ about the multiple metric interaction in a process.
A. Much is known
B. Little is known
C. We don't care
D. Data exists
When analyzing a data set we frequently graph one metric as a function of another. If the slope of the Correlation line is -2.5 we would say the two metrics are ___________ correlated?
A. Positively
B. Not
C. Negatively
D. None
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
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