Regression model coefficients affect operation, output and customer base
| Predictor | Estimate | SE | t | p |
|---|---|---|---|---|
| Model coefficients – impact on operation | ||||
| Intercept a | 0.179 | 0.162 | 1.10 | 0.276 |
| During Covid-19 actual use of technology | ||||
| Yes – No | 0.943 | 0.221 | 4.27 | <0.001 |
| Model coefficients – Impact on output | ||||
| Intercept a | 0.214 | 0.173 | 1.24 | 0.221 |
| During Covid-19 actual use of technology | ||||
| Yes – No | 0.968 | 0.236 | 4.11 | <0.001 |
| Model coefficients – Impact on customer base | ||||
| Intercept a | 1.393 | 0.213 | 6.527 | <0.001 |
| During Covid-19 use of technology | ||||
| Yes – No | −0.120 | 0.290 | −0.414 | 0.680 |
| Predictor | Estimate | SE | ||
|---|---|---|---|---|
| Intercept a | 0.179 | 0.162 | 1.10 | 0.276 |
| During Covid-19 actual use of technology | ||||
| Yes – No | 0.943 | 0.221 | 4.27 | <0.001 |
| Intercept a | 0.214 | 0.173 | 1.24 | 0.221 |
| During Covid-19 actual use of technology | ||||
| Yes – No | 0.968 | 0.236 | 4.11 | <0.001 |
| Intercept a | 1.393 | 0.213 | 6.527 | <0.001 |
| During Covid-19 use of technology | ||||
| Yes – No | −0.120 | 0.290 | −0.414 | 0.680 |
Note(s): a Represents reference level
Source(s): Authors own work
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