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Sales ComparisonMEDIUM16.4% of exam

A regression model of 400 sales returns a coefficient of $62 per square foot of GLA. Before using it, the appraiser should confirm:

Correct Answer

B) The sample, specification and model performance are appropriate for the subject’s market

Check whether the sample and specification fit the subject’s market and property type, and investigate model quality and coefficient stability before use. A large sample alone does not establish applicability, nor does agreement with construction cost or a vendor label.

Answer Options
A
The sample includes each sale recorded countywide during the study period, of all property types
B
The sample, specification and model performance are appropriate for the subject’s market
C
The coefficient equals a construction-cost figure exactly
D
The software vendor has certified the model for appraisal use

Why This Is the Correct Answer

Option B is correct because a regression coefficient is useful only if the sample and model specification fit the subject's market and property type and the model performs well. The appraiser should investigate model quality and how stable the coefficient is before using it. A large sample alone does not establish that the result applies to the subject.

Why the Other Options Are Wrong

Option A: The sample includes each sale recorded countywide during the study period, of all property types

Option A, requiring a sample of each countywide sale of all property types, is wrong because mixing unrelated property types and markets can make the model less relevant to the subject. Relevance to the subject's market matters more than sheer coverage.

Option C: The coefficient equals a construction-cost figure exactly

Option C, requiring the coefficient to equal a construction-cost figure exactly, is wrong because a market-derived coefficient measures buyer reaction, which can differ from cost. Agreement with cost is not the test of a model's reliability.

Option D: The software vendor has certified the model for appraisal use

Option D, requiring the software vendor to certify the model, is wrong because a vendor label does not show that the model fits this subject's market. The appraiser remains responsible for judging the data and model.

Fit before you trust

Check that the data and model fit the subject's market before trusting any coefficient.

How to use: Use this when an answer choice offers sample size, cost or a vendor label as proof of a model's reliability.

Exam Tip

Choose the answer that checks relevance and model quality; outside labels or size alone do not prove a model fits.

Common Mistakes to Avoid

  • -Assuming a large sample makes a model reliable
  • -Requiring market coefficients to match construction costs
  • -Relying on software labels instead of testing the model

Concept Deep Dive

Analysis

This question tests how an appraiser should evaluate a regression coefficient before relying on it. A coefficient is only as good as the data and model behind it. The appraiser should check that the sample, model specification and performance fit the subject's market and property type.

Background Knowledge

Multiple regression can estimate the contribution of individual property features from a set of sales. Its results depend on whether the sales represent the relevant market, whether the model includes appropriate variables and how well the model performs. Appraisers should understand and test a model before relying on its coefficients.

Real-World Application

An appraiser runs a regression on 400 sales and gets $62 per square foot of GLA. Reviewing the data, the appraiser removes condominiums and sales from a distant submarket, reruns the model and checks how well it fits. The coefficient stays stable, so the appraiser uses it with a summary of the analysis in the report.

regression analysiscoefficientmodel specificationsample selectionGLA adjustment
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