1. Best Places To Live in the United States Brett Spencer, Reed Hogan and Jeffrey Park

2. Why are some cities the best places to live? ► Different Criteria for Different Demographics  Recent College Graduates  Families ► Factors We Considered  Median Age  Unemployment Rate  Population  Number of Bars  Average Temperature  Crime Rate  Percent of Population who are Married  Number of Higher Education Institutions

3. Motivations ► College students face the decision of where to live. ► A successfully descriptive model, which estimates quality of life in various cities for recent graduates, might help students to approach that decision. ► As individuals age and begin to build a family, their preferences change – affecting which cities are desirable to live in.

4. Expected Relations between Rankings and Independent Variables VariableRecent College Graduates Families Median AgePositiveNegative Unemployment RatePositive PopulationNegativePositive Number of Bars with a 15 mile radius NegativePositive Average Annual Temperature Negative Crime RatePositive Percent of Population who are Married PositiveNegative Number of Higher Education Institutions in the Area Negative Monthly RentPositiveNegative

5. Multiple Regression Coeff.t Stat P- value Intercept58.312.130.04 Median age-0.68-0.880.38 Unemployment rate0.790.880.39 Number of bars-0.02-2.210.03 Average temperature-0.62-2.510.02 Coeff.t StatP-value 47.741.620.11 -1.30-1.990.06 0.670.810.42 0.032.350.03 0.020.080.93 Recent College GraduatesFamilies

6. Multiple Regression Continued Coeff.t Stat P- value Crime rate0.861.880.07 Percent married0.390.940.35 Colleges in the area-0.22-0.960.35 Population Size 5.58E -061.260.22 Coeff.t StatP-value 0.831.270.21 0.010.030.97 0.090.650.52 -9.96E-06-3.050.00 Recent College GraduatesFamilies

7. Validity Tests of Recent College Grads Regression

8. Validity Tests of Families Regression

9. Is the Recent College Grad. Regression Valid? ANOVA dfSSMSFSignificance F Regression82457.431268307.17890853.3149933230.007483385 Residual312872.56873292.66350747 Total395330 F.05,8,31 =2.27 R.R: F>2.27 F-stat = 3.315  We can reject the null hypothesis. H 0 : B 1 = B 2 = B 3 = … = B 8 = 0 H 1 : At least 1 B i ≠ 0

10. Is the Family Preference Model Valid? ANOVA dfSSMSFSignificance F Regression82037.104917254.63811472.3972162360.038535882 Residual313292.895083106.222422 Total395330 F.05,8,31=2.27 R.R: F>2.27 F-stat = 2.397 We can reject the null hypothesis. H 0 : B 1 = B 2 = B 3 = … = B 8 = 0 H 1 : At least 1 B i ≠ 0

11. Conclusions ► For recent college graduates, average annual temperature and availability of bars are significant predictors of quality of life in the top 40 cities. ► As individuals begin to build a family, average annual temperature is no longer a significant variable. Interestingly enough, however, the availability of bars, remains significant, while the city’s population also becomes significant

12. Suggestion on Best Cities 1. 1. New York, NY 2. 2. Chicago, IL 3. 3. San Francisco, CA 4. 4. Philadelphia, PA 5. 5. Miami, FL 1. Billings, MT 2. Honolulu, HI 3. Manchester, NH 4. Virginia Beach, VA 5. Springfield, IL Recent College Grads Families