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WGU Data-Driven-Decision-Making Exam Syllabus Topics:

WGU VPC2Data-Driven Decision MakingC207 Sample Questions:

1. An analyst used multiple linear regression to show how a big box store's sales (y) are predicted by the big box store's advertising expenditure in dollars (variable x1) and the advertising expenditure in dollars of a specialty store (variable x2) in the same market. The estimated regression is y = 651.57 + 92.30x1 # 26.89x2. How are advertising expenditures and sales related in this scenario?

A) If the specialty store increases its advertising expenditures, it will decrease the big box store's sales.
B) If the big box store decreases its advertising expenditures, its sales will increase.
C) If the big box store decreases its advertising expenditures, it will decrease the big box store's sales.
D) If the big box store increases its advertising expenditures, its sales will decrease.

2. A researcher wants to estimate the average wholesale price of a gallon of gas in the United States. Several gas station owners along the East Coast are asked what price they pay wholesale for a gallon of gas. The researcher then averages these values for the sample mean price of a gallon of gas. Which problem would be discovered if this researcher's work were evaluated?

A) There is conscious bias in the data.
B) The sample data are not representative of the population.
C) There is response bias in the data.
D) There is faulty calibration in the data collection.

3. A company runs a regression analysis to determine sales based on advertising expenditures, which can be shown in a linear equation as y = 2x + 25,000. The company plans to spend $20,000 on advertising.
Which sales figure should the company expect to generate based on the given equation?

A) $40,000
B) $75,000
C) $65,000
D) $50,000

4. Why is choosing appropriate performance indicators important for data-driven decision-making?

A) They satisfy governmental regulations.
B) They are a key part of an organization's rules and bylaws.
C) They convince employees that they are equally as important as their managers.
D) They align with an organization's definition of success.

5. How do analytics help an organization?

A) They develop fact-based strategies.
B) They use data to persuade consumers.
C) They assist with investment management.
D) They increase employees' use of information systems.

Solutions: