Analyzing Home Prices in Washington State
Document Type
Poster
Event Website
https://source2022.sched.com/
Start Date
16-5-2022
End Date
16-5-2022
Keywords
Numerical Methods, Interpolation, Housing Market
Abstract
Home prices are constantly fluctuating and in recent years the median price for a home in Washington state hit an all-time high. The goal of this project is to understand the housing market's trends using data from the Office of Financial Management for Washington state (OFM). The data is the yearly median home price (measured in US dollars) in Washington state from 2000 to 2020. Using this data we will create an approximation that lines up with the data and makes a reasonable prediction for the median housing price next year. To accomplish this goal we will construct several interpolating polynomials and compare their results. We will also examine how the housing market has changed from 2000 to 2020. To accomplish this goal we will conduct numerical differentiation methods and numerical integration methods.
Recommended Citation
Tallman, Abby, "Analyzing Home Prices in Washington State" (2022). Symposium Of University Research and Creative Expression (SOURCE). 101.
https://digitalcommons.cwu.edu/source/2022/COTS/101
Department/Program
Applied Mathematics
Additional Mentoring Department
Mathematics
Slides
Analyzing Home Prices in Washington State
Home prices are constantly fluctuating and in recent years the median price for a home in Washington state hit an all-time high. The goal of this project is to understand the housing market's trends using data from the Office of Financial Management for Washington state (OFM). The data is the yearly median home price (measured in US dollars) in Washington state from 2000 to 2020. Using this data we will create an approximation that lines up with the data and makes a reasonable prediction for the median housing price next year. To accomplish this goal we will construct several interpolating polynomials and compare their results. We will also examine how the housing market has changed from 2000 to 2020. To accomplish this goal we will conduct numerical differentiation methods and numerical integration methods.
https://digitalcommons.cwu.edu/source/2022/COTS/101
Faculty Mentor(s)
Brandy Wiegers