Estimating selling price of houses using multiple regression

Tee, Winnie Pei Yee (2008) Estimating selling price of houses using multiple regression. Universiti Malaysia Sabah. (Unpublished)

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Abstract

The main purpose of this research is to obtain the best model in estimating the selling price of houses. In this research, method of multiple regression is being used. Parameters in the regression model are estimated using Ordinary Least Squares method. There are seven independent variables in this research. Two out of the seven independent variables are dummy variables. Thus, possible models with interaction variables up to fourth order are being considered. The best model is chosen according to the eight selection criteria. The best model obtained implies that the selling price of houses is influenced by both the individual variables and interaction variables. The best model is then ready to estimate the selling price of houses

Item Type: Academic Exercise
Uncontrolled Keywords: multiple regression, Ordinary Least Squares, selling price of houses
Subjects: Q Science > QA Mathematics
Divisions: SCHOOL > School of Science and Technology
Depositing User: MDM SITI AZIZAH IDRIS
Date Deposited: 12 Mar 2014 08:33
Last Modified: 12 Oct 2017 06:17
URI: http://eprints.ums.edu.my/id/eprint/8476

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