• Big Data Research: Exploring the Potential to Improve Business Performance in a Computerized Economy • TEST • • • • • • • TheBI 1 variable has a positive and significant effect on loyalty. TheBI 2 variable has a positive and significant effect on loyalty. TheBI 3 variable has a positive and significant effect on loyalty. TheBI 4 variable has a positive and significant effect on loyalty. TheCS 1 variable has a positive and significant effect on loyalty. TheCS 2 variable has a positive and significant effect on loyalty. TheCS 3 variable has a positive and significant effect on loyalty. Model Summary Adjusted R ModelR R Square Square .310a 1 .096 Std. Error of the Estimate .007 .65881 a. Predictors: (Constant), CS4, BI2, CS3, BI1, CS2, BI3, BI4, CS1 a. Predictors: (Constant), CS4, BI2, CS3, BI1, CS2, BI3, BI4, CS1 ANOVAa Sum of ModelSquares df 1 Mean Square Regression 3.732 8 .467 Residuals 35.157 81 .434 F Sig. .389b 1.075 Total 38.889 89 a. Dependent Variable: SB6 b. Predictors: (Constant), CS4, BI2, CS3, BI1, CS2, BI3, BI4, CS1 Coefficientsa Unstandardized Standardized Coefficients Coefficients Beta Model Std. Error t Sig. B 1 (Constant) 2.837 .861 3.294 .001 BI1 .103 .103 .126 1.005 .318 BI2 -.003 .103 -.004 -.030 .976 BI3 .027 .106 .034 .259 .796 BI4 .057 .104 .072 .545 .587 CS1 -.087 .122 -.095 -.708 .481 CS2 .019 .093 .025 .206 .837 CS3 .243 .113 .273 2.150 .035 CS4 -.050 .081 -.072 -.615 .541 a. Dependent Variable: SB6 3) a). The model shows R = 0.310, meaning that the relationship between quality and decision is 31%. This means that the relationship is not close. The greater the R means the tighter the relationship. To ensure the type of relationship between variables can be seen in the following table: Value 0.0 - 0.19 0.2 - 0.39 0.4 - 0.59 0.6 - 0.79 0.8 - 0.99 Interpretation Very heavy Not heavy Quite heavy Erat Sangaterat • R square of 0.096 means that 0.96% of the decision variable can be explained by quality, while the remaining 99.04% can be explained by other factors examined by this study. • Standard Error of Estimate means measuring the variation of the predicted value. Standard Error of Estimate can also be referred to as standard deviation. The Standard Error of Estimate is 0.65881. then the smaller the standard deviation means the better the model. b). In the table, it can be seen that the significant value is 0.000 (more than 0.05), meaning that quality has a positive and significant effect on decisions. Means reject Ho and accept Hi. The regression equation is Y = 2.837 + 5.89 X, meaning that if we increase the quality by an amount of One-unit will increase the decision by 5.89.