Regression Analysis
Regression Analysis to predict house prices in San Jose for year 2017
Project Members
- Jay Patel
- Van Ahn Le
Abstract
The goal of this project is to predict the house prices of the San Jose city in summer 2017 based on the data collected from the summer 2016. The collected data is used to create several linear and non-linear models to predict the best house price in San Jose for summer 2017.
Environment
- Matlab
- Microsoft Excel
Theory Topics
- Probability and Statistics
- Linear Models/Regression
Results
The scatter plot matrix of all the variables used in the project.
Pridiction of the house prices based on bedrooms, bathrooms and house size based on the regression analysis.
Referance
The data for the project was collected from the following website.