Question 21
Which statement(s) are correct for the Regression Analysis shown here? (Note: There are 2 correct answers).
- This Regression is an example of a Multiple Linear Regression.
- This Regression is an example of Cubic Regression.
- %Cu explains the majority of the process variance in heat flux.
- Thickness explains over 80% of the process variance in heat flux.
- The number of Residuals in this Regression Analysis is 26.
Question 22
The Regression Model for an observed value of Y contains the term which represents the Y axis intercept when X = 0.
- True
- False
Question 23
Which statement(s) are true about the Fitted Line Plot shown here? (Note: There are 2 correct answers).
- When Reactant increases, the Energy Consumed increases.
- The slope of the equation is a positive 130.5.
- The predicted output Y is close to -18 when the Reactant level is set to 6.
- Over 85 % of the variation of the Energy Consumed is explained by the Reactant via this Linear Regression.
Question 24
After reviewing the Capability Analysis shown here select the statement(s) that are untrue.
- The process is properly assumed to be a Normal process
- The Mean of the process moving range is 1.78
- The process is out of Control
- This Capability Analysis used subgroups
- Majority of the dimensional values are outside of the tolerance than within
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?
- Inefficiency of estimates
- Residuals
- Confounded data
- Gap Analysis