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Table 3 Multiple linear regression analysis findings

From: Exploring spatial distribution of social vulnerability and its relationship with the Coronavirus disease 2019: the Capital region of South Korea

 

Model 1

(First Episode)

Model 2

(Second Episode)

Model 3

(Third Episode)

Model 4

(TOTAL)

\(\beta\)

(t-value)

Robust Standard Error

\(\beta\)

(t-value)

Standard Error

\(\beta\)

(t-value)

Standard Error

\(\beta\)

(t-value)

Standard Error

Constant

5.5525

(1.33)

4.1864

108.7861***

(3.07)

35.4267

489.4152***

114.0284

704.6469***

(4.23)

166.6855

Population

0.00002***

(4.84)

4.35e-06

0.0002***

(7.59)

0.00002

0.0006***

(8.34)

0.0007

0.0010***

(9.73)

0.0001

Integrated SVI in 2019

-1.0429*

(-1.75)

0.5974

-15.0633**

(-2.66)

5.6727

-68.8195***

(-3.77)

18.2588

-98.6967***

(-3.70)

26.6904

Difference in Traditional SVI between 2015 and 2019

3.6862***

(2.94)

1.2527

31.1475***

(3.78)

8.2454

113.8462***

(4.29)

26.5396

171.7925***

(4.43)

38.7952

Difference in Healthy SVI between 2015 and 2019

-0.6937

(-0.73)

0.9473

12.6517

(1.67)

7.5848

4.4486

(0.18)

24.4133

20.1448

(0.56)

35.6871

\({R}^{2}\)

0.527

0.629

0.698

0.743

Adjusted \({R}^{2}\)

0.496

0.605

0.678

0.726

\(F\)-value

10.75***

25.84***

35.19***

44.11***

Mean VIF

1.77

1.77

1.77

1.77

White Test

33.89***

8.16

9.88

18.54

Moran’s I

0.089

0.137

0.190

0.131

N

66

66

66

66

  1. Note: SVI Social vulnerability index
  2. *** p < 0.01, ** p < 0.05, * p < 0.1