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Table 5 Regression analysis of determinant of e-payment adoption.

From: Electronic payment adoption and consumers’ spending growth: empirical evidence from Nigeria

Model summary

R

R-square

Adjusted R-square

Std. error of the estimate

1

.791a

.625

.621

.58823

ANOVA

Sum of squares

df

Mean square

F

Sig.

1

 Regression

228.266

4

57.067

164.923

.000a

 Residual

137.023

396

.346

  

 Total

365.289

400

   

Coefficientsb

Unstandardized coefficients

Standardized coefficients

t

Sig.

B

SE

Beta

1

 (Constant)

− .008

.192

 

− .043

.966

 Convenience

.770

.048

.678

16.131

.000

 Security and safety

.195

.053

.151

3.704

.000

 Trust

.013

.051

.010

.257

.797

 Social influence

.011

.043

.008

.250

.803

  1. aPredictors: (constant), social influence, convenience, trust, security and safety
  2. bDependent variable: e-payment adoption