Regression analysis to predict service delivery in banks based on operational variables
| Model | Variables | OP2 | OP5 | OP4 | OP3 | OP1 | R | R2 | F change | Sig. |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | B | 13.541 | – | – | – | – | 0.723 | 0.523 | 52.590 | 0.000** |
| SE | 1.867 | – | – | – | – | |||||
| 2 | B | 11.285 | 5.685 | – | – | – | 0.856 | 0.733 | 36.869 | 0.000** |
| SE | 1.461 | 0.936 | – | – | – | |||||
| 3 | B | 10.296 | 3.889 | 4.432 | – | – | 0.897 | 0.805 | 16.993 | 0.000** |
| SE | 1.284 | 0.918 | 1.075 | – | – | |||||
| 4 | B | 9.250 | 2.931 | 4.462 | 2.967 | – | 0.917 | 0.842 | 10.517 | 0.002** |
| SE | 1.213 | 0.887 | 0.979 | 0.320 | – | |||||
| 5 | B | 8.124 | 3.338 | 4.223 | 4.618 | 3.059 | 0.931 | 0.867 | 8.504 | 0.006** |
| SE | 1.187 | 0.833 | 0.910 | 1.019 | 1.049 |
| Model | Variables | OP2 | OP5 | OP4 | OP3 | OP1 | R | Sig. | ||
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 13.541 | – | – | – | – | 0.723 | 0.523 | 52.590 | 0.000** | |
| 1.867 | – | – | – | – | ||||||
| 2 | 11.285 | 5.685 | – | – | – | 0.856 | 0.733 | 36.869 | 0.000** | |
| 1.461 | 0.936 | – | – | – | ||||||
| 3 | 10.296 | 3.889 | 4.432 | – | – | 0.897 | 0.805 | 16.993 | 0.000** | |
| 1.284 | 0.918 | 1.075 | – | – | ||||||
| 4 | 9.250 | 2.931 | 4.462 | 2.967 | – | 0.917 | 0.842 | 10.517 | 0.002** | |
| 1.213 | 0.887 | 0.979 | 0.320 | – | ||||||
| 5 | 8.124 | 3.338 | 4.223 | 4.618 | 3.059 | 0.931 | 0.867 | 8.504 | 0.006** | |
| 1.187 | 0.833 | 0.910 | 1.019 | 1.049 |
Note:
**Significant at 0.001% level
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