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(WGU D466) BUS 2760 Analyzing & Visualizing Data - FA Pre Test Guide . $14.49   Add to cart

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(WGU D466) BUS 2760 Analyzing & Visualizing Data - FA Pre Test Guide .

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(WGU D466) BUS 2760 Analyzing & Visualizing Data - FA Pre Test Guide .(WGU D466) BUS 2760 Analyzing & Visualizing Data - FA Pre Test Guide .(WGU D466) BUS 2760 Analyzing & Visualizing Data - FA Pre Test Guide .(WGU D466) BUS 2760 Analyzing & Visualizing Data - FA Pre Test Guide .

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  • September 11, 2024
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  • 2024/2025
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D466 BUS 2760



Analyzing & Visualizing Data




FA PRE-TEST GUIDE




© WGU 2024/2025

,1. Data visualization in supply chain management primarily aims
to:
a. Increase sales performance
b. Enhance production capacity
c. Interpret complex data patterns
d. Reduce labor costs
Answer: c. Interpret complex data patterns
Rationale: Data visualization is used to make complex data
easier to understand and analyze, thus aiding decision-making.


2. Which of the following techniques is most commonly used for
forecasting in supply chain analytics?
a. Cluster Analysis
b. Linear Regression
c. Classification Trees
d. Market Basket Analysis
Answer: b. Linear Regression
Rationale: Linear regression is frequently used for predicting
trends and forecasting in many applications, including supply chain
analytics.
© WGU 2024/2025

, 3. In a supply chain network, which type of data visualization is best
suited for representing geographical distribution?
a. Pie Chart
b. Line Graph
c. Network Diagram
d. Heat Map
Answer: d. Heat Map
Rationale: Heat maps provide a visual representation of data
values across geographical areas, making them suitable for
geographical distribution.


Fill-in-the-Blank Questions


4. The process of cleaning, organizing, and integrating data for
analysis is known as __________.
Answer: Data Preprocessing
Rationale: Data preprocessing involves transforming raw data
into a clean and usable format for analysis.


5. A __________ occurs when the supply chain analytics focuses
on the potential consequences of decisions based on predictive
models.
© WGU 2024/2025

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