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BNAD 446 Week 2 Quiz | Score 20/20 | University of Arizona

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BNAD 446 Week 2 Quiz | Score 20/20 | University of Arizona










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Uploaded on
January 19, 2026
Number of pages
6
Written in
2025/2026
Type
Exam (elaborations)
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Questions & answers

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1/18/26, 1:21 PM Week 2 - Quiz: BUS446: Production Control (CFM2602A)



Week 2 - Quiz
Due Jan 18 at 11:59pm
Points 20
Questions 20
Time Limit 120 Minutes
Allowed Attempts Unlimited

Instructions




Work Processes
[WLOs: 1, 2, 3, 4] [CLOs: 1, 2, 3]
Prior to taking this quiz,

Review Chapter 3: “Forecasting,” Chapter 4: “Product and Service Design,” and Chapter 5: “Strategic
Capacity Planning for Products and Services” in your course textbook.

The quiz contains 20 true or false questions and is worth 1.5% of your course grade. You will have
two hours to complete the quiz, and you must take it in one sitting. You will have unlimited attempts to
take this quiz, and the highest grade will be recorded.

Select the Take the Quiz button when you are ready to start. When finished, select Submit Quiz.

Take the Quiz Again


Attempt History
Attempt Time Score


KEPT Attempt 3 10 minutes 20 out of 20


LATEST Attempt 3 10 minutes 20 out of 20


Attempt 2 9 minutes 16 out of 20


Attempt 1 2 minutes 15 out of 20

, 1/18/26, 1:21 PM Week 2 - Quiz: BUS446: Production Control (CFM2602A)


Correct answers are hidden.

Score for this attempt: 20 out of 20
Submitted Jan 18 at 12:19pm
This attempt took 10 minutes.


Question 1
pts
Global teams provide diversity while eliminating conflicts and miscommunication.
True
False

Using globally diverse design teams increases the risks of conflicts and miscommunication.


Question 2
pts
The shorter the forecast period, the more accurately the forecasts tend to track what actually happens.
True
False

Long-term forecasting is much more difficult to do accurately.


Question 3
pts
Nonlinear and multiple regression procedures permit us to extend associative models to nonlinear
relationships or involve more than one predictor variable.
True
False

Regression analysis can be used in various settings, even when the relationship between variables is
nonlinear or when multiple predictor variables are involved.


Question 4
pts
Forecasting techniques generally assume an existing causal system that will continue to exist in the
future.
True
False

Forecasts depend on casual systems remaining reasonably constant

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