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The application of regression analysis for estimating real estate market price

Market prices are essentially volatile from factor economy and local condition, may it be external
and internal factors. The author analyses the market prices of the property using various independent
variables that affect the price. Knowing the market price of a real estate property with an accurate model
plays a big impact on market valuation at micro level. Market value is a term used to describe how much
property assets are worth in the financial market, according to market participants. The author proposes
another regression model using different independent variables in the form of quantitative data. The
regression model used in this study is multiple linear regression.
Keywords: Market price, independent variables, multiple linear regression

Creator(s)
  • (C13180141) JESSICA MELINDA ASMARA ABADI
Contributor(s)
  • Karina Agustin, S.T., M.B.A. → Advisor 1
  • Indriati Njoto Bisono → Examination Committee 1
  • Toni Nurkhalam → Advisor 2
  • Susan Widjojo → Examination Committee 2
Publisher
Universitas Kristen Petra; 2022
Language
English
Category
s1 – Undergraduate Thesis
Sub Category
Skripsi/Undergraduate Thesis
Source
Skripsi No. 02020029/IBE/2022; Jessica Melinda Asmara Abadi (C13180141)
Subject(s)
  • BUILDING--ESTIMATES
  • REGRESSION ANALYSIS--COMPUTER PROGRAMS
File(s)

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