Question: Model-Building and Diagnostics A study obtained mortgage yields in n=18 U.S. metropolitan areas in the 1960s. The researcher obtained the following variables and fit a
Model-Building and Diagnostics
A study obtained mortgage yields in n=18 U.S. metropolitan areas in the 1960s. The researcher obtained the following variables and fit a linear regression model to see which factors (variables) were associated with yield (each variable was obtained for each metro area):
- Y = Mortgage Yield (Interest Rate as a %)
- X1 = Average Loan/Mortgage Ratio (High Values Low Down Payments/Higher Risk)
- X2 = Distance from Boston (in miles) - (Most of population was in Northeast in the 1960s)
- X3 = Savings per unit built (Measure of Available capital versus building rate)
- X4 = Savings per capita
- X5 = Population increase from 1950 to 1960 (%)
- X6 = Percent of first mortgage from inter-regional banks (Measures flow of money from outside SMSA)
p.2.a. Using stepwise regression, based on AIC, choose the best model
p.2.b. Using all possible regressions, choose the best model, based on the Cp criterion
p.3.c. Obtain Studentized deleted residuals, hat values, DFFITS, Cooks D, and DFBETAS for each city, based on the model you selected in part a). any cities stand out as outliers or influential cases? Specifically give your "critical" cut-off value for each measure
NEED
Model-Building and Diagnostics
p.2.a. Model selected by Stepwise Regression:
p.2.b. Model Selected based on Cp from all possible regressions:
p.2.c. Cut-off values: (either from book/slides or using R's criteria):
Studentized Residuals: hat-values: DFFITS:
Cook's D: DFBETAS:
Influential Cases (if any):
| smsa | mortYld | X1 | X2 | X3 | X4 | X5 | X6 |
| Los Angeles-Long Bea | 6.17 | 78.1 | 3042 | 91.3 | 1738.1 | 45.5 | 33.1 |
| Denver | 6.06 | 77 | 1997 | 84.1 | 1110.4 | 51.8 | 21.9 |
| San Francisco-Oaklan | 6.04 | 75.7 | 3162 | 129.3 | 1738.1 | 24 | 46 |
| Dallas-Fort Worth | 6.04 | 77.4 | 1821 | 41.2 | 778.4 | 45.7 | 51.3 |
| Miami | 6.02 | 77.4 | 1542 | 119.1 | 1136.7 | 88.9 | 18.7 |
| Atlanta | 6.02 | 73.6 | 1074 | 32.3 | 582.9 | 39.9 | 26.6 |
| Houston | 5.99 | 76.3 | 1856 | 45.2 | 778.4 | 54.1 | 35.7 |
| Seattle | 5.91 | 72.5 | 3024 | 109.7 | 1186 | 31.1 | 17 |
| New York | 5.89 | 77.3 | 216 | 364.3 | 2582.4 | 11.9 | 7.3 |
| Memphis | 5.87 | 77.4 | 1350 | 111 | 613.6 | 27.4 | 11.3 |
| New Orleans | 5.85 | 72.4 | 1544 | 81 | 636.1 | 27.3 | 8.1 |
| Cleveland | 5.75 | 67 | 631 | 202.7 | 1346 | 24.6 | 10 |
| Chicago | 5.73 | 68.9 | 972 | 290.1 | 1626.8 | 20.1 | 9.4 |
| Detroit | 5.66 | 70.7 | 699 | 223.4 | 1049.6 | 24.7 | 31.7 |
| Minneapolis-St Paul | 5.66 | 69.8 | 1377 | 138.4 | 1289.3 | 28.8 | 19.7 |
| Baltimore | 5.63 | 72.9 | 399 | 125.4 | 836.3 | 22.9 | 8.6 |
| Philadelphia | 5.57 | 68.7 | 304 | 259.5 | 1315.3 | 18.3 | 18.7 |
| Boston | 5.28 | 67.8 | 0 | 428.2 | 2081 | 7.5 | 2 |
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