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Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 763,763.83 925,268.53 0.825 0.409 (1,050,458.20) 2,577,985.85 total_hospital_beds (70,771.49) 3,548.55 -19.944 0.000 (77,729.31) (63,813.67) teaching
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 763,763.83 | 925,268.53 | 0.825 | 0.409 | (1,050,458.20) | 2,577,985.85 |
total_hospital_beds | (70,771.49) | 3,548.55 | -19.944 | 0.000 | (77,729.31) | (63,813.67) |
teaching hosp dummy | (2,516,203.34) | 1,578,364.65 | -1.594 | 0.111 | (5,610,984.82) | 578,578.15 |
R Square =0.1470 |
Table 2-Model 21-To explain/predict Net Hospital Benefits -2011-2012
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 0 | 0 | 65535 | 0 | 0 | |
total_hospital_beds | 0 | 0 | 65535 | 0 | 0 | |
Non -teaching_hospital | 0 | 0 | 65535 | 0 | 0 | |
R Square=1 |
Use the results from model 1 and model 2 to compare the results between teaching and non-teaching hospitals.
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