Guide-linked quiz · Medium Level
Automated Valuation Models (AVMs) Explained Quiz
Tests how AVM methods like repeat-sales work, what forecast standard deviation means, and the five factors of the 2024 AVM quality control rule.
Question 1 of 8
Why is the Zestimate's error much lower for homes currently listed for sale than for off-market homes?
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Answers and explanations appear as you take the quiz.
- Why is the Zestimate's error much lower for homes currently listed for sale than for off-market homes?
- Listed homes are always in dense suburbs with many similar houses
- The list price, fresh photos and description give the model strong new information
- Zillow sends an appraiser to every listed home
- Off-market homes are excluded from Zillow's error statistics
- Which AVM technique takes the price change of homes that sold more than once and applies that growth to a property's last sale price?
- Hedonic regression
- Computer vision condition scoring
- Repeat-sales indexing
- Comparable-sales reconciliation
- When did the federal AVM quality control rule for mortgage originators and secondary market issuers take effect?
- October 1, 2025
- January 1, 2021
- June 30, 2023
- The rule was proposed but never finalized
- Which of the following is NOT one of the quality control factors required by the 2024 AVM rule?
- Protecting against manipulation of data
- Requiring random sample testing and reviews
- Complying with applicable nondiscrimination laws
- Requiring AVM vendors to publish their model source code
- Why do AVMs tend to be less accurate in Texas than in many other states?
- Texas bans the use of machine learning in real estate
- Texas homes are all custom-built
- Texas is a non-disclosure state where sale prices are not recorded publicly
- Texas requires AVMs to ignore square footage
- A vendor reports a forecast standard deviation of 10 percent for an estimate of $400,000. Assuming roughly normal errors, what does that suggest?
- The estimate is guaranteed to be within $10,000
- About two-thirds of true values should fall between roughly $360,000 and $440,000
- The model is wrong 10 percent of the time
- The home will appreciate 10 percent next year
- If an AVM's median error for off-market homes is 7 percent, what can you conclude?
- Every home is within 7 percent of its true value
- No home is off by more than 14 percent
- Half of off-market homes are estimated with more than 7 percent error
- The AVM is less accurate than any appraisal
- Which testing practice would make an AVM look more accurate than it really is?
- Scoring estimates produced after the model already saw the list price or pending sale
- Freezing estimates before sale information is available
- Measuring hit rate separately from accuracy
- Comparing performance by county and price tier
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