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WGU VPC2Data-Driven Decision MakingC207 Sample Questions:

1. A clothing company wants to predict sales figures based on the amount spent on advertising.
Which type of regression analysis should this company use?

A) Time series regression
B) Multiple linear regression
C) Logistic regression
D) Linear regression

2. What was the cumulative incidence rate during Year 2 at the university?

A) 11.84%
B) 17.87%
C) 10.04%
D) 3.70%

3. What is an appropriate management use of statistics?

A) Implementing changes based on customer survey response rate
B) Understanding the demographics of customers
C) Ordering product for a region based on one store
D) Justifying organizational decisions after they have been implemented

4. 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.

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

Solutions: