Model Summary Model R R Square Adjusted R Std. Error of Square the Estimate 1 .647a .418 .405 .82374 a. Predictors: (Constant), customer fit, reward value, convenience, possibility, reward type Coefficientsa Model Unstandardized Coefficients Standardized t Sig. Coefficients B Std. Error Beta (Constant) 4.759E-005 .054 .001 .999 reward value .432 .058 .447 7.444 .000 reward type -.035 .111 -.017 -.320 .749 1 possibility -.299 .090 -.205 -3.324 .061 convenience .595 .094 .338 6.309 .000 customer fit .322 .105 .189 3.078 .002 a. Dependent Variable: choice Model Summary Model R R Square Adjusted R Std. Error of Square the Estimate 1 .822a .675 .666 .61678 a. Predictors: (Constant), perceived value, customer fit, convenience, reward value, reward type, possibility Coefficientsa Model Unstandardized Coefficients Standardized t Sig. Coefficients B Std. Error Beta (Constant) 6.624E-006 .041 .000 1.000 reward value .328 .073 .186 4.464 .000 reward type .072 .081 .042 .895 .372 1 possibility .217 .046 .225 4.681 .000 convenience .314 .067 .215 4.659 .000 customer fit .013 .063 .006 3.155 .007 perceived value .738 .056 .637 13.287 .000 a. Dependent Variable: choice Model Summary
Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .647a .418 .405 .82374 a. Predictors: (Constant), customer fit, reward value, convenience, possibility, reward type Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 4.759E-005 .054 .001 .999 reward value .432 .058 .447 7.444 .000 reward type -.035 .111 -.017 -.320 .749 possibility -.299 .090 -.205 -3.324 .061 convenience .595 .094 .338 6.309 .000 customer fit .322 .105 .189 3.078 .002 a. Dependent Variable: choice Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .822a .675 .666 .61678 a. Predictors: (Constant), perceived value, customer fit, convenience, reward value, reward type, possibility Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 6.624E-006 .041 .000 1.000 reward value .328 .073 .186 4.464 .000 reward type .072 .081 .042 .895 .372 possibility .217 .046 .225 4.681 .000 convenience .314 .067 .215 4.659 .000 customer fit .013 .063 .006 3.155 .007 perceived value .738 .056 .637 13.287 .000 a. Dependent Variable: choice Model Summary
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