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A model built on sales across an entire county and applied to one neighborhood risks:

Correct Answer

A) Coefficients reflecting markets the subject does not compete in

Why this is correct: The governing concept is that regression model coefficients represent average relationships derived from the input data. Applying a model built on county-wide sales to a single neighborhood is a specification error. The original explanation correctly states that averaging across distinct submarkets, which may value property features differently, yields coefficients that do not accurately reflect the pricing dynamics of the specific subject neighborhood. Why the other choices are wrong: 'Producing estimates that are far too precise to be usable' is incorrect; the risk is imprecision or bias, not excessive precision. 'Understating the sample size available' is wrong because using a larger, county-wide sample overstates, not understates, the apparent sample size for the neighborhood. 'Eliminating the need for verification' is false; verification remains a critical step regardless of model scope. Exam tip: Remember that regression models must be specified for a homogeneous market area. Applying a model calibrated on a broader, heterogeneous area to a specific property risks using coefficients that are not locally applicable.

Answer Options
A
Coefficients reflecting markets the subject does not compete in
B
Producing estimates that are far too precise to be usable
C
Understating the sample size available
D
Eliminating the need for verification

Why This Is the Correct Answer

Why this is correct: The governing concept is that regression model coefficients represent average relationships derived from the input data. Applying a model built on county-wide sales to a single neighborhood is a specification error. The original explanation correctly states that averaging across distinct submarkets, which may value property features differently, yields coefficients that do not accurately reflect the pricing dynamics of the specific subject neighborhood. Why the other choices are wrong: 'Producing estimates that are far too precise to be usable' is incorrect; the risk is imprecision or bias, not excessive precision. 'Understating the sample size available' is wrong because using a larger, county-wide sample overstates, not understates, the apparent sample size for the neighborhood. 'Eliminating the need for verification' is false; verification remains a critical step regardless of model scope. Exam tip: Remember that regression models must be specified for a homogeneous market area. Applying a model calibrated on a broader, heterogeneous area to a specific property risks using coefficients that are not locally applicable.

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