SUMMARY OUTPUT Regression Statistics Multiple R 0.908603921 R Square 0.825561086 Adjusted R Square 0.818138154 Standard Error 398.0910071 Observations 50 ANOVA df SS MS F Significance F Regression 2 35250755.67 17625377.84 111.2176468 1.50876E-18 Residual 47 7448393.148 158476.4499 Total 49 42699148.82 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 1304.904779 197.6548431 6.601936785 3.28664E-08 907.2745236 1702.535035 Annual Household Income ($) 0.033133009 0.003967906 8.350250854 7.68206E-11 0.025150612 0.041115406 Household Size 356.2959015 33.20089044 10.73151644 3.12342E-14 289.5043251 423.0874779 1) Is there any multicollinearity problem in the above regression model? How do you know?
SUMMARY OUTPUT |
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Regression Statistics |
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Multiple R |
0.908603921 |
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R Square |
0.825561086 |
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Adjusted R Square |
0.818138154 |
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Standard Error |
398.0910071 |
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Observations |
50 |
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ANOVA |
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df |
SS |
MS |
F |
Significance F |
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Regression |
2 |
35250755.67 |
17625377.84 |
111.2176468 |
1.50876E-18 |
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Residual |
47 |
7448393.148 |
158476.4499 |
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Total |
49 |
42699148.82 |
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Coefficients |
Standard Error |
t Stat |
P-value |
Lower 95% |
Upper 95% |
Intercept |
1304.904779 |
197.6548431 |
6.601936785 |
3.28664E-08 |
907.2745236 |
1702.535035 |
Annual Household Income ($) |
0.033133009 |
0.003967906 |
8.350250854 |
7.68206E-11 |
0.025150612 |
0.041115406 |
Household |
356.2959015 |
33.20089044 |
10.73151644 |
3.12342E-14 |
289.5043251 |
423.0874779 |
1) Is there any multicollinearity problem in the above regression model? How do you know?
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