Analysis of the causes of the influence of the industrial economy on the social economy based on multiple linear regression equation
Publié en ligne: 15 déc. 2021
Pages: 513 - 522
Reçu: 16 juin 2021
Accepté: 24 sept. 2021
© 2021 Yuting Zhao et al., published by Sciendo.
This work is licensed under the Creative Commons Attribution 4.0 International License.
Analysis of variance table
Sources of variation |
Sum of squares |
Degrees of freedom |
The variance |
Regression model |
|
k |
|
Due to the remaining |
|
n–k–1 |
|
Total variable |
|
n–1 |
|
Weighted average travel time rating table
City |
Before the construction of high-speed rail |
After the construction of the high-speed rail |
Growth probability% |
A |
119.35 |
43.76 |
36.67 |
B |
121.36 |
62.00 |
51.08 |
C |
91.84 |
32.06 |
34.90 |
D |
117.79 |
45.79 |
38.20 |
Economic potential index analysis results
City |
Before the construction of high-speed rail |
After the construction of the high-speed rail |
Growth probability |
A |
21.07 |
96.13 |
4.56 |
B |
25.98 |
112.63 |
4.34 |
C |
27.19 |
192.26 |
7.07 |
D |
24.00 |
168.33 |
7.01 |
Comparison of running time before and after construction of high-speed railway
Section |
Before the construction of high-speed rail |
After the construction of the high-speed rail |
A—B |
2 h and 9 min |
45 points |
A—C |
1 h and 08 min |
41 points |
B—C |
2 h and 30 min |
1 h and 3 min |
A—D |
30 per minute |
14 points |