Multiple Regression Model | Case # 28 House Prices | | A group of statistic student’s objective is to provide a business solution using statistical calculations and tools on a sample data. | | Upaiwan Porndumrongkit Ana Sanchez George Satiah Kritchapon Sopawatjirarich | 10/16/2010 |

Executive Summary
Summary: Home owners want to determine a reasonable asking price of a house based on a collection of home descriptions and its characteristics. However, home owners can get confused very easily as they see close variation in price based on different descriptive characteristics. Home owners hesitate to get professional advice from real estate agents due to service price. On the other hand, our Multi Regression Model can help real estate agents provide fast predictions and advice to home owners at a minimum service price. Our solution would give real estate agents a competitive advantage in the real estate market.
Problem statement: How to determine a reasonable asking price on n number of houses with its descriptive characteristics.
Solution: Multi Regression Model is one way to assist real estate agents use data to provide an estimate.

Introduction
The objective of this project is to provide the detailed data analysis and resolution to the problem statement mentioned above. As a group of students of statistics in the Keller Graduate School of Management at DeVry University, we have determined collectively and followed statistical calculations to find a solution to the problem statement. We have determined that the regression model analysis produces the best possible solution for formulating an equation to predict the best asking price for a house using real estate data. We