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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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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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