An Allometric Algorithm for Fractal-Based Cobb-Douglas Function of Geographical Systems
Table 3
Main statistics based on the multiple linear regressions for two types of models on the public transportation of China’s cities (2012).
Item
Global modeling (public transportation)
Local modeling (bus and trolley bus)
Type
Object
Statistic
values (sig.)
Statistic
values (sig.)
Multiple
Model
0.9606
—
0.9703
—
Standard error
Model
0.2009
—
0.1642
—
statistics
Model
341.5719
2.1518 * 10−20
457.8210
4.1012 * 10−22
Parameter and statistic
Constant
8.6391
2.1902 * 10−9
11.5756
3.4669 * 10−12
10.5482
2.9246 * 10−11
12.3132
8.0917 * 10−13
−2.7743
0.0097
−3.3900
0.0021
The standard error is for the linear regression prediction; value or sig. implies the corresponding significance of and statistics, that is, a kind of probability for null hypothesis.
