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AGA GFMC Exam - Topic 3 Question 11 Discussion

Actual exam question for AGA's GFMC exam
Question #: 11
Topic #: 3
[All GFMC Questions]

If a CGFM wants to utilize data on population growth, housing and employment to estimate sales tax revenue, the CGFM should use

A. a regression analysis. B. a cash flow analysis. C. a payback analysis. D. flow charting.

Show Suggested Answer Hide Answer
Suggested Answer: A

Regression Analysis:

Regression analysis is a statistical method used to examine relationships between variables and make predictions.

To estimate sales tax revenue, a CGFM can use regression to analyze how population growth, housing, and employment trends correlate with tax revenue over time.

Explanation of Answer Choices:


Association of Government Accountants (AGA), Predictive Analytics in Public Sector Finance.

by Trina at Nov 21, 2025, 11:44 AM

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Carri
10 hours ago
A makes the most sense, but I wonder if flow charting could help visualize the data?
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Fredric
6 days ago
I thought cash flow analysis could work too, but I guess not.
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Olga
11 days ago
Definitely A. Regression is the way to go for this!
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Buffy
16 days ago
Regression analysis is the way to go. Gotta love those fancy statistical models! Though I'd rather be crunching numbers than taking this exam.
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Lashaun
21 days ago
Haha, payback analysis? Really? That's for investment decisions, not tax revenue estimation. Regression is clearly the way to go.
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Merilyn
26 days ago
Regression analysis is the right tool for this task. It's the industry standard for revenue forecasting based on macroeconomic indicators.
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Brittni
1 month ago
Regression analysis is the correct choice. It allows you to quantify the impact of demographic and economic factors on tax revenue, which is crucial for accurate forecasting.
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Chauncey
1 month ago
I feel like I’ve seen something similar in our study materials, and regression analysis was always highlighted for forecasting. It just makes sense!
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Ronnie
1 month ago
I’m a bit confused about why flow charting is even an option here; it seems more about processes than predicting anything like sales tax.
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Jeanice
2 months ago
I remember practicing a question where we had to differentiate between cash flow and regression analysis, and I think regression is definitely the way to go for estimating revenue.
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Lizette
2 months ago
I think regression analysis is the right choice because it helps in predicting outcomes based on historical data, but I'm not entirely sure how to apply it to sales tax revenue specifically.
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Leatha
2 months ago
Regression analysis is the clear choice here. It allows you to build a predictive model using the demographic data to forecast the sales tax revenue. As long as I remember the key steps, I think I can nail this type of question on the exam.
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Shalon
2 months ago
Regression analysis is definitely the way to go here. It's the most robust method for modeling the relationship between population growth, housing, employment, and sales tax revenue.
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Gabriele
2 months ago
I think A is the best choice. Regression analysis makes sense.
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Novella
2 months ago
Ugh, this question is tripping me up a bit. I know regression is used for forecasting, but I'm having trouble remembering the details of how you'd actually set that up to estimate sales tax revenue. Might need to spend some more time practicing these types of problems.
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Dorathy
3 months ago
Regression analysis is definitely the way to go here. That's the standard approach for estimating future revenue based on economic and population data. I feel pretty good about being able to execute that properly on the exam.
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Earleen
3 months ago
D is definitely not relevant here. Just a visualization tool.
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Adelaide
3 months ago
Hmm, I'm a little unsure about this one. I know regression analysis is used for predictive modeling, but I'm not totally confident in how to apply it in this specific context. Might need to review my notes on revenue forecasting methods.
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King
3 months ago
I think I'd go with regression analysis on this one. It seems like the best way to model the relationship between the demographic data and the sales tax revenue.
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