The company also studied the impact of each variable to the effectiveness of the Uber. Below the results of the regression analysis.
| Table 2: Multiple Linear Regression | |||||
| Regression Statistics | |||||
| Multiple R | 0.94 | ||||
| R Square | 0.89 | ||||
| Observations | 272.00 | ||||
| ANOVA | |||||
| df | SS | MS | F | Significance F | |
| Regression | 3 | 2.75 | 0.92 | 15.49 | 0.00013 |
| Residual | 268 | 0.35 | 0.05 | ||
| Total | 271 | 3.10 | |||
| Coefficients | Standard Error | t Stat | P-value | ||
| Intercept | 0.35 | 0.53 | -1.2 | 0.540 | |
| Technology Use | 0.25 | 0.09 | 4.5 | 0.005 | |
| Safety and Security | 0.13 | 0.14 | 0.2 | 0.382 | |
| Customer Trust | 0.46 | 0.12 | -3.1 | 0.009 | |
- Based on Table 2, write the regression equation (1 points).
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- b) What would be your managerial recommendation
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