What limits a model's usefulness in a market with very few transactions?
Correct Answer
B) Sparse data leaves little for the model to learn from
Why this is correct: The governing concept is that statistical or automated valuation models (AVMs) require sufficient data to identify reliable patterns. In a market with very few transactions (sparse data), the model has little information to "learn" from, making its output less reliable. Why the other choices are wrong: "Models are prohibited in low-volume markets" is wrong; they are not prohibited but are less reliable. "Models require at least one sale per week to run" is wrong; there is no fixed weekly transaction threshold. "Low-volume markets have no recorded deed data" is wrong; some data usually exists, just very little of it. Exam tip: The reliability of a model's output is directly tied to the quantity and quality of the underlying transaction data.
Why This Is the Correct Answer
Why this is correct: The governing concept is that statistical or automated valuation models (AVMs) require sufficient data to identify reliable patterns. In a market with very few transactions (sparse data), the model has little information to "learn" from, making its output less reliable. Why the other choices are wrong: "Models are prohibited in low-volume markets" is wrong; they are not prohibited but are less reliable. "Models require at least one sale per week to run" is wrong; there is no fixed weekly transaction threshold. "Low-volume markets have no recorded deed data" is wrong; some data usually exists, just very little of it. Exam tip: The reliability of a model's output is directly tied to the quantity and quality of the underlying transaction data.
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