|
R squared
|
LR statistic
a
|
DF
b
|
P-value
|
R squared
|
LR statistic
a
|
DF
b
|
P-value
|
---|
Model only with control variables (#1)c
|
0.625
| | | |
0.648
| | | |
#1 + Age-adjusted mortalityd
|
0.636
|
10.81
|
1
|
.001
|
0.652
|
4.75
|
1
|
.029
|
#1 + Physician densitye
|
0.624
|
0.15
|
1
|
.697
|
0.764
|
139.67
|
1
|
< .001
|
#1 + urban/rural statusf
|
0.627
|
4.24
|
2
|
.120
|
0.679
|
34.05
|
2
|
< .001
|
#1 + SES composite indexg
|
0.627
|
3.14
|
1
|
.077
|
0.701
|
57.18
|
1
|
< .001
|
Full modelh
|
0.640
|
18.95
|
5
|
.002
|
0.783
|
172.10
|
5
|
< .001
|
- aThe likelihood ratio test statistic.
- bDegree of freedom.
- cThe models included only control variables, which are total population, number of primary school students per number of primary schools, crime rate, discomfort index calculated by temperature and humidity, hospital beds per 1,000 population, and the presence or absence of medical schools.
- dThe models included control variables and age-adjusted mortality.
- eThe models included control variables and ratio of number of physicians to 1,000 population.
- fThe models included control variables and urban centre and suburban.
- gThe models included control variables and socioeconomic status (SES) composite index, which was created from the percent of the population with a college-level education, percent of white-collar workers, the unemployment rate, and per capita income.
- hThe models included all variables.