1. Group 3 Members:Dan Sun Hongliang Wu Hui Lai Hui Wang Ling-Ching Hsu Seok-Rahn Lee Shin-Hao Lee Yuanbo Mao Analysis of House Price in California Econ 240 A

2. Agenda Historical House Prices in California The Purpose of Our Project Statistical Analysis Conclusion

3. Historical House Prices in California 1976 - 2008

4. The Purpose of This Project To Test the Possible Factors that May Influence the House Prices Personal Income per Capita Mortgage Rate Unemployment Rate Population Growth To Investigate How Each of These Factors Affects the House Prices To Build Models to Forecast Future House Prices in California

5. House Price vs. Income per Capita Statistical Analysis

6. House Price vs. Unemployment Rate Statistical Analysis

7. House Price vs. Mortgage Rate

8. Statistical Analysis House Price vs. Population Growth Rate

9. Statistical Analysis House Price vs. Income per Capita, Unemployment Rate and Mortgage Rate

10. Statistical Analysis Regression Diagnostics - Normality

11. Statistical Analysis Regression Diagnostics – Homoscedasticity

12. Statistical Analysis Regression Diagnostics - Independence

13. Statistical Analysis Regression Diagnostics - Outliers

14. Statistical Analysis House Price vs. Income per Capita, Unemployment Rate and Mortgage Rate w/ Dummy Variables

15. Statistical Analysis Regression Diagnostics - Normality

16. Statistical Analysis Regression Diagnostics - Homoscedasticity

17. Statistical Analysis Regression Diagnostics - Independence

18. Conclusion Income per Capita, Unemployment Rate and Mortgage Rate Are Significant, whereas Population Grow Rate is not T here Is a Linear Correlated Relationship between House Price and Income per Capita, Unemployment rate and Mortgage Rate Build Model to Forecast Future House Prices in California

19. Questions?