2022) is the use of satellite-based measures. For example, if the price of a house is determined by different characteristics, like the number of bedrooms, the number of bathrooms, proximity to schools, etc., regression analysis can be used to determine the relative importance of each variable. new approach for hedonic models that will certainly become increa singly common (e.g., Wolf 297. Regression analysis can be used to determine the correlation between building characteristics and the transaction price and hedonic modeling can be used to. Hedonic pricing is a revealed-preference method used in economics and consumer science to determine the relative importance of the variables which affect the price of or demand for a good or service. Hedonic regression is used in hedonic pricing models and is commonly applied in real estate, retail, and economics. Hedonic regression is commonly used in real estate pricing and quality adjustment for price indexes.In a hedonic regression model, a price is usually the dependent variable and the attributes that are believed to provide utility to the buyer or consumer are the independent variables.Hedonic regression is the application of regression analysis to estimate the impact that various factors have on the price or demand for a good.
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