,
, WGU D553 Data Analytics for Accountants II Task 1
Performance Assessment Guide | Audit Fee Regression, Excel
Analysis & Predictive Modeling | 2026 Updated | verified by
experts .
This practice exam is aligned with the WGU D553 Task 1 Performance Assessment, which
focuses on regression analysis, predictive modeling, and Excel-based data analytics for audit
fee estimation. The questions cover model interpretation, validation, assumptions, and
professional accounting judgment.
Section 1: Regression Fundamentals & Model Interpretation (Questions 1–15)
Question 1: A controller wants to estimate next month's warranty expense from units sold,
product age, and historical claim rates. Which analytical approach best matches this goal?
A. Descriptive analytics
B. Predictive analytics
C. Data archival
D. Vertical analysis
CorreCt Answer: B. Predictive analytics
rAtionAle: Predictive analytics uses historical data and statistical models to forecast future
events, such as warranty expense based on units sold, product age, and claim rates.
Question 2: In a regression designed to estimate monthly utility cost from machine hours,
which variable is the dependent variable?
A. Machine hours
B. Monthly utility cost
C. Number of departments
D. Calendar month
CorreCt Answer: B. Monthly utility cost
rAtionAle: The dependent variable (Y) is the outcome being predicted or explained. Monthly
utility cost is what the model is trying to estimate based on machine hours.
, WGU D553 Data Analytics for Accountants II Task 1
Performance Assessment Guide | Audit Fee Regression, Excel
Analysis & Predictive Modeling | 2026 Updated | verified by
experts .
This practice exam is aligned with the WGU D553 Task 1 Performance Assessment, which
focuses on regression analysis, predictive modeling, and Excel-based data analytics for audit
fee estimation. The questions cover model interpretation, validation, assumptions, and
professional accounting judgment.
Section 1: Regression Fundamentals & Model Interpretation (Questions 1–15)
Question 1: A controller wants to estimate next month's warranty expense from units sold,
product age, and historical claim rates. Which analytical approach best matches this goal?
A. Descriptive analytics
B. Predictive analytics
C. Data archival
D. Vertical analysis
CorreCt Answer: B. Predictive analytics
rAtionAle: Predictive analytics uses historical data and statistical models to forecast future
events, such as warranty expense based on units sold, product age, and claim rates.
Question 2: In a regression designed to estimate monthly utility cost from machine hours,
which variable is the dependent variable?
A. Machine hours
B. Monthly utility cost
C. Number of departments
D. Calendar month
CorreCt Answer: B. Monthly utility cost
rAtionAle: The dependent variable (Y) is the outcome being predicted or explained. Monthly
utility cost is what the model is trying to estimate based on machine hours.
