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

WGU VPC2Data-Driven Decision MakingC207 Sample Questions:

1. A financial analyst theorizes that commute times increase as the percentage of land availability for homes in a city decreases. To test this theory, the analyst uses a regression analysis. Which analysis result is supportive of this analyst's theory?

A) The R-squared value is 0.10.
B) The p-value for the regression coefficient is 0.50.
C) The p-value for the regression coefficient is 1.
D) The R-squared value is 0.90.

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

3. What is the primary goal of Six Sigma?

A) Demonstrating strong management leadership
B) Fostering a commitment to continuous improvement
C) Furthering a commitment to the SIPOC process
D) Providing collaborative planning, forecasting, and replenishment

4. What is the purpose of linking strategy to performance assessment in an organization?

A) To provide a target of where an organization needs or desires to be
B) To increase the organization's data collection
C) To translate the organization's mission for only team players
D) To decrease the organization's action plans

5. Which analytic used in healthcare is calculated as a proportion of new cases compared to person-time units?

A) Morbidity rate
B) Incidence rate
C) Cumulative incidence
D) Prevalence

Solutions: