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. 2024 May 3;15:1376567. doi: 10.3389/fpsyt.2024.1376567

Table 4.

Linear regression analysis for predictors of vaccine hesitancy.

Model Summary
Model R R Square Adjusted R Square Std. Error of the Estimate
1 .278a .077 .065 0.391
ANOVAa
Sum of Squares df Mean Square F P-Value
Regression 7.043 7 1.006 6.568 0.000b
Residual 84.256 550 .153
Total 91.299 557
B Std. Error Beta T p-Value
(Constant) 1.748 .133 13.167 .000
Age groups -.038- .027 -.065- -1.42- .157
Gender .070 .034 .087 2.064 .040
Education -.042- .021 -.081- -1.954 .051
Marital status -.022- .037 -.026- -.574- .567
Covid-19 infection -.177- .037 -.198- -4.780 .000
Covid-19 anxiety -.006- .003 -.141- -2.129 .034
Fear of Covid-19 .003 .004 .045 .683 .495

a. Dependent Variable: vaccine hesitancy. b. Predictors: (Constant), age, gender, education, marital status, COVID-19 infection, COVID-19-Anxiety, and Fear of COVID-19.