Shows that the results of the multiple regression model to study the significance of the effect of the independent variables on the dependent variable
| Variable | Regression coefficients | Standard error | Standard regression coefficients | t-value | Indication level | Interpretation |
|---|---|---|---|---|---|---|
| Constant | 0.081 | 0.128 | 0.632 | 0.528 | ||
| Dimension one: data collection | 0.000 | 0.047 | 0.000 | −0.003 | 0.998 | Insignificant |
| Dimension two: data warehouse | 0.368 | 0.070 | 0.367 | 5.301 | 0.000 | Significant |
| The third dimension: data mining | 0.070 | 0.071 | 0.067 | 0.981 | 0.328 | Insignificant |
| Fourth dimension: reporting “data analysis” | 0.077 | 0.065 | 0.075 | 1.198 | 0.232 | Insignificant |
| The fifth dimension: Information display | 0.459 | 0.064 | 0.414 | 7.190 | 0.000 | Significant |
| F value = 249.171 degrees of freedom = (5,348) overall significant level = 0.000 | The model is significant | |||||
| Correlation coefficient R = 0.884 coefficient of determination R2 = 0.782 | ||||||
| R2 adjusted coefficient of determination = 0.779 | ||||||
| Variable | Regression coefficients | Standard error | Standard regression coefficients | Indication level | Interpretation | |
|---|---|---|---|---|---|---|
| Constant | 0.081 | 0.128 | 0.632 | 0.528 | ||
| Dimension one: data collection | 0.000 | 0.047 | 0.000 | −0.003 | 0.998 | Insignificant |
| Dimension two: data warehouse | 0.368 | 0.070 | 0.367 | 5.301 | 0.000 | Significant |
| The third dimension: data mining | 0.070 | 0.071 | 0.067 | 0.981 | 0.328 | Insignificant |
| Fourth dimension: reporting “data analysis” | 0.077 | 0.065 | 0.075 | 1.198 | 0.232 | Insignificant |
| The fifth dimension: Information display | 0.459 | 0.064 | 0.414 | 7.190 | 0.000 | Significant |
| The model is significant | ||||||
| Correlation coefficient | ||||||
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