Date of Award
2017
Publisher
North Dakota State University
Document Type
Thesis
Degree Awarded
Master of Science (MS)
Program
Statistics
Department
Statistics
College
Science and Mathematics
Faculty Advisor
Shen, Gang
Description
This study investigated housing prices by applying geostatistical regression techniques to identify the significant factors affecting residential housing sales prices in Fargo, North Dakota. The study used a subset of residential housing price sales data for the year 2015. The study found moderate spatial dependency among properties. Some of the statistically significant variables were found to be age, total area of property, number of parking spots, air conditioner and the status of basement finish. Finally, predictions on new locations were made based on ordinary linear regression model and regression kriging technique used for the geostatistical models.
Recommended Citation
Lamitare, Tika, "A Geostatistical Analysis of Housing Prices in Fargo" (2017). Statistics. 122.
https://digitalcommons.ndsu.edu/stats/122
Rights
NDSU Policy 190.6.2
Rights Link
https://www.ndsu.edu/fileadmin/policy/190.pdf
Handle Identifier
https://hdl.handle.net/10365/28648