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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