An automated valuation model returns a figure differing sharply from the appraiser's conclusion. What is the appropriate response?
Correct Answer
C) Consider what the model may not have captured
Why this is correct: Consider what the model may not have captured. The governing concept is analytical review. Automated Valuation Models (AVMs) rely on quantitative data and may miss qualitative factors (condition, view, updates) or have outdated data. A divergence should prompt investigation into both the model's limitations and the appraiser's own data. Why the other choices are wrong: Adopt the model output as objective evidence is wrong without independent verification; the appraiser must maintain accountability. Report both figures and let the client decide abdicates the appraiser's responsibility to form and defend a conclusion. Disregard the model, as such tools are unreliable is an unsupported dismissal; AVMs can provide useful market context. Exam tip: An AVM divergence is a prompt to double-check your data and consider unquantified property attributes.
Why This Is the Correct Answer
Investigating what the model missed is what turns a conflicting number into useful evidence, and it also disciplines the appraiser's own file by forcing a second look at his data. The inquiry runs both directions, testing the model's blind spots and the appraiser's assumptions, which is how a genuine error on either side gets caught. The resolution is then documented, since a reviewer or an intended user comparing the two figures will want to know the appraiser saw the gap. Choice C is the only option that treats the divergence as something to analyze rather than something to adopt, defer, or dismiss.
Why the Other Options Are Wrong
Option A: Adopt the model output as objective evidence
Model output is not objective simply because it is computed; it inherits the errors, gaps, and staleness of the records feeding it and the choices embedded in its specification. Adopting a figure the appraiser cannot explain also surrenders responsibility for a conclusion he must certify as his own. Numerical precision reads as authority, which is exactly why this option is tempting.
Option B: Report both figures and let the client decide
An appraisal is an opinion, and delivering two conflicting numbers with an invitation to choose is not an opinion at all. It leaves the client to perform the reconciliation the appraiser was engaged to perform, and it practically guarantees the client selects the figure that suits the transaction. Reconciliation is a required part of the development process, not an optional service.
Option D: Disregard the model, as such tools are unreliable
Blanket dismissal is as unsupported as blanket adoption, and it throws away a signal that might reveal a real problem in the appraiser's own analysis. Models are useful for screening, for testing a conclusion against a broad data set, and for spotting sales the appraiser overlooked. Rejecting a tool by category rather than by demonstrated performance in this market is not analysis.
The Model Cannot Open the Front Door
A model reads records; an appraiser walks rooms. When the two disagree, ask what is inside the house that never made it into a record, and then ask whether you got something wrong too.
How to use: Treat divergence as a two-way audit. List what the model could not see, then re-check your own sales, measurements, and adjustments before deciding which figure the evidence supports.
Exam Tip
Technology questions are ownership questions. The correct option always keeps the appraiser analyzing and accountable, never adopting, deferring, or dismissing by category.
Common Mistakes to Avoid
- -Treating a computed figure as objective because it came from a model
- -Presenting two values instead of reconciling to one opinion
- -Failing to re-examine the appraiser's own data when the model disagrees
Concept Deep Dive
Analysis
An automated valuation model is a statistical estimate built from records the model can read, which typically means recorded sale prices, assessor characteristics, and time and location variables, and it cannot see condition, quality of updates, views, functional layout problems, or a busy road at the rear property line. A sharp divergence from the appraiser's conclusion is therefore information, and the professional response is diagnostic: identify what the model could not know, and at the same time re-examine the appraiser's own inputs, because the model may be right and the appraiser may have missed a sale, mismeasured the improvements, or over-adjusted. Where the model runs high, the usual causes are unrecorded deterioration, an interior that never got updated, or comparable records that treat a finished basement as living area. Where it runs low, deep renovations and premium features invisible in public records are the frequent explanations. Either way the appraiser remains responsible for the conclusion he signs, so the divergence must be resolved and, where the model was considered, the analysis explained rather than left as an unmentioned conflict.
Background Knowledge
You need to know what an automated valuation model can and cannot observe, the kinds of property characteristics that live outside public records, and the ways stale or erroneous records distort output. You also need the reconciliation obligation in appraisal development, the principle that the appraiser is responsible for results regardless of the tools used, and the workfile expectation that significant conflicting data considered in the assignment be addressed.
Real-World Application
An AVM returns $612,000 against an appraiser's $548,000 conclusion. Investigating, he finds the model counted a 700 square foot unpermitted basement finish as living area and used two sales from across a school district boundary, documents both defects, and keeps his conclusion with an explanation of the divergence.
More Statistics Questions
A set of comparable sales has a mean of $250,000 and a standard deviation of $20,000. What is the coefficient of variation?
A property sold for $400,000 and resold three years later for $463,050 with no physical change. What compound annual rate does this indicate?
A histogram of neighborhood sale prices shows two distinct peaks. What does this most likely mean?
What does it mean to validate a regression model?
In a market study, what does a frequency distribution of sale prices show?
An appraiser includes months elapsed since each sale as a variable in a price model. What is this intended to capture?
An appraiser presents a statistical analysis in a report. What must accompany it for the reader to weigh it?
An R-squared of 0.86 in a sales model indicates that:
Which measure would best summarize the most common lot size in a subdivision?
Paired sales analysis and regression differ mainly in that regression:
People Also Study
Real Estate Market
13.6% of exam
Property Description
11.8% of exam
Land or Site Valuation
4.5% of exam
Sales Comparison Approach
16.4% of exam
Cost Approach
13.6% of exam