Kolmogorov–Smirnov test to determine the normality of the error distribution
| Model | N | Mean | Std. deviation | Z statistic | Sig. |
|---|---|---|---|---|---|
| Basu’s expanded model (H1) | 362 | 0.000 | 1.972 | 1.023 | 0.306 |
| Khan–Watts’ expanded model (H1) | 362 | 0.000 | 4.0253 | 0.998 | 0.318 |
| Basu’s expanded model (H2) | 361 | 0.000 | 0.1343 | 1.137 | 0.2555 |
| Khan–Watts’ expanded model (H2) | 361 | 0.000 | 0.1201 | 1.226 | 0.2201 |
| Basu’s expanded model (H3) | 338 | 0.000 | 0.1343 | 1.102 | 0.270 |
| Khan–Watts’ expanded model (H3) | 338 | 0.000 | 0.1294 | 1.521 | 0.128 |
| Model | Mean | Std. deviation | Sig | ||
|---|---|---|---|---|---|
| Basu’s expanded model (H1) | 362 | 0.000 | 1.972 | 1.023 | 0.306 |
| Khan–Watts’ expanded model (H1) | 362 | 0.000 | 4.0253 | 0.998 | 0.318 |
| Basu’s expanded model (H2) | 361 | 0.000 | 0.1343 | 1.137 | 0.2555 |
| Khan–Watts’ expanded model (H2) | 361 | 0.000 | 0.1201 | 1.226 | 0.2201 |
| Basu’s expanded model (H3) | 338 | 0.000 | 0.1343 | 1.102 | 0.270 |
| Khan–Watts’ expanded model (H3) | 338 | 0.000 | 0.1294 | 1.521 | 0.128 |
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