Incorporating Multiple Linear Regression in Predicting the House Prices Using a Big Real Estate Dataset with 80 Independent Variables

Journals Menu

Follow SCIRP

ISSN Print: 2333-9705
ISSN Online: 2333-9721
www.scirp.org/journal/oalibj
E-mail: service@oalib.com

"Incorporating Multiple Linear Regression in Predicting the House Prices Using a Big Real Estate Dataset with 80 Independent Variables"
written by Azad Abdulhafedh,
published by Open Access Library Journal, Vol.9 No.1, 2022

has been cited by the following article(s):

[1]	Prediction of Apartment Price Considering Socio Economic and Crime Rates Factors in DKI Jakarta
	International Journal of …, 2023

[2]	A transformation for the pricing of real estate data
	2023

[3]	The Single Simplified Guide to Multiple Regression
	2023

[4]	Comparison between common statistical modeling techniques used in research, including: Discriminant analysis vs logistic regression, ridge regression vs …
	Open Access Library Journal, 2022

[5]	Applying the Geostatistical Eigenvector Spatial Filter Approach into Regularized Regression for Improving Prediction Accuracy for Mass Appraisal
	Applied Sciences, 2022

[6]	Modeling Vehicle Crash Frequency When Multicollinearity Exists in Vehicle Crash Data: Ridge Regression versus Ordinary Least Squares Linear Regression
	Open Access Library Journal, 2022

[7]	Prediction and Analysis of Rental Price using Random Forest Machine Learning Technique Take Shanghai and Wuhan for example
	2022 International Conference on …, 2022

[8]	GITT. Clasificador de perfiles sociales en Twitter
	2022

Follow SCIRP

[1]	Application of robust estimation methods in real estate valuation Acta Scientiarum Polonorum Administratio Locorum, 2024 DOI:10.31648/aspal.10726

[2]	Applying the Geostatistical Eigenvector Spatial Filter Approach into Regularized Regression for Improving Prediction Accuracy for Mass Appraisal Applied Sciences, 2022 DOI:10.3390/app122010660