A small sample size properties does not give a full picture of the true value of different attributes in the marketplace. Since there is a lot of variation in the marketplace, deriving adjustments off of just a few data points can lead to wildly different conclusions from property to property with very little data to support your valuation decisions. Analyzing more properties gives us a stable measurement that is representative of the entire neighborhood.
Articles in this section
- FAQ Regression - What does R squared signify?
- FAQ Regression - How can bedrooms be considered an insignificant attribute?
- FAQ Regression - What is collinearity? Why is it important?
- FAQ Regression - Do appraisers have to use the regression results?
- FAQ Regression - Can I make an adjustment even when an attribute is not considered significant?
- FAQ Regression - What’s the value of analyzing 2000 properties? Don't we just need three?
- FAQ Regression - What does significant mean?
- FAQ Regression - When should I make adjustments to attributes other than the ones HouseCanary analyzed?
- FAQ Regression - What do the sliders mean?