A Mathematical Model based on Multiple Regression Analysis method for the Valuation of Residential Real Estate in Damascus


Abstract in English

The real estate valuation is the process of estimating the real estate price based on the real estate description and property features . The aim of this research is to define the main variables and study their effects on defining the price of the residential real estates in Damascus, hence to build a mathematical model based on Multiple Regression Analysis method for the valuation of these Real Estates Data on 130 residential real estates in Damascus were collected and analyzed using the SPSS package . The Analyses have revealed that it is possible to rely on the Multiple Regression Analyses model to estimate the price of the real estate but only after defining and testing its shortcomings and transforming the model into Multiple – Non linear Regression model . This research concluded that the relationship between the price of the real estate and the studied variables is nonlinear .

References used

Allen, W. and Zumwalt,J. (1994)."Neural Networks: A Word of Caution", unpublished working paper, Colorado State University, 1994
Do, Q. and Grudnitski. G.(1992)." A Neural Network Approach to Residential Property Appraisal". Real Estate Appraiser, December 1992, pp 38–45
Dotzour, M. (2001(. “What Really Drives Residential Sales Volume?”. Texas REALTOR, August

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