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while R2 0.341. The table below shows the products of bivariate regression analysis
Model Summary.
| Model | R coefficient | Square | Adjusted R Square | Standard Error of the predicted values |
| 1 | .597(a) | .341 | .349 | .54612 |
ANOVA (b).
| Model | Sum of Squares | df | Mean Square | F | Sig. | |
| 1 | Regression | 15.549 | 1 | 15.549 | 52.133 | .000(a) |
| Residual | 28.028 | 94 | .297 | |||
| Total | 43.577 | 95 |
Co-efficient (a).
| Model | Unstandardised Coefficients | Standardised Coefficients | t | Sig. | ||
| B | Std. Error | Beta | B | Std. Error | ||
| 1 | (Constant) | 1.189 | .342 | 3.444 | .001 | |
| X8RM | .639 | .088 | .595 | 7.219 | .000 |
Relationship between Performance Monitoring and Outsourcing Performance
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