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Table 6 Linear Regression Model Analysis of Internet Users’ Risk Perceptions in the COVID-19 Event

From: Netizens’ risk perception in new coronary pneumonia public health events: an analysis of spatiotemporal distribution and influencing factors

Variable

Equation I

Equation II

Equation III

Equation IV

Equation V

X1

0.00135 (0.613959)

3.77E-02a (1.991287)

0.006534 (0.83375)

1.71E-03 (1.64111)

0.001736 (1.86153)

X2

0.060085 (1.486521)

0.001965 (1.825641)

7.66E-04 (1.852471)

1.003657a (2.663358)

0.904527 (1.375526)

X3

8.257481b (2.307547)

1.10E-06a (2.085241)

-0.82E-03 (−1.754117)

0.066856a (2.15417)

1.021367a (2.875502)

X4

-1.214574a (−1.985114)

-1.70063b (−2.425471)

-1.004772a (−2.036574)

−0.001845 (−1.00036)

4.54E-05b (2.000067)

X5

6.85E-02b (4.195523)

3.345E-02c (5.145672)

2.87E-05c (4.837169)

1.66E-04b (2.105878)

1.37E-05a (2.052741)

X6

1.978421b (2.854632)

1.003527c (3.745811)

1.643589b (2.107952)

0.000275 (1.795422)

1.087235a (2.111253)

Adjusted -squared

0.685411

0.073251

0.453375

0.268742

0.204685

F-statistic

10.852311c

3.114785b

2.728768a

5.416758c

3.000256b

  1. a, b, c in the table indicate statistically significant at the 10, 5, and 1% levels, respectively