College
Buchtel College of Arts and Sciences
Date of Last Revision
2026-04-28 12:30:40
Major
Statistics
Honors Course
STAT 498
Number of Credits
2
Degree Name
Bachelor of Science
Date of Expected Graduation
Spring 2026
Abstract
This paper attempts to find the biggest factors and traits that influence the cost of housing. This will include the lot size, type of street, utilities, neighborhood, year built, heating, electrical, yard size, number of different rooms, age, condition, and others. I will attempt to answer the question of whether the prices of houses have changed within the last 5 to 10 years, and obviously this is an easy question to answer. However, the bigger question beyond this is are the main factors affecting housing prices all important in explaining this relationship? Is one factor more important than the rest in determining the housing price or does one factor have a greater influence on price when compared to similar houses? I will be answering this question through the statistical method of regression, which will show what factors are important in explaining the relationship to a particular value.
Research Sponsor
Mark Fridline
First Reader
Nao Mimoto
Second Reader
Richard Einsporn
Honors Faculty Advisor
Nao Mimoto
Proprietary and/or Confidential Information
No
Recommended Citation
Ruvolo, Alex, "Modeling Housing Prices: Which Features Matter Most?" (2026). Williams Honors College, Honors Research Projects. 2095.
https://ideaexchange.uakron.edu/honors_research_projects/2095
Included in
Applied Statistics Commons, Data Science Commons, Longitudinal Data Analysis and Time Series Commons, Multivariate Analysis Commons, Statistical Methodology Commons, Statistical Models Commons