Homework SourseHow well does this regression analysis explain the ratings J
.How well does this regression analysis explain the ratings? Justify your answers referring to the relevant figures?
Use the following data to answer the questions
| SUMMARY OUTPUT | ||||||||
| Regression Statistics | ||||||||
| Multiple R | 0.29561901 | |||||||
| R Square | 0.087390599 | |||||||
| Adjusted R Square | 0.019789903 | |||||||
| Standard Error | 2.381601386 | |||||||
| Observations | 30 | |||||||
| ANOVA | ||||||||
| df | SS | MS | F | Significance F | ||||
| Regression | 2 | 14.66498729 | 7.332494 | 1.292747 | 0.290968963 | |||
| Residual | 27 | 153.1446794 | 5.672025 | |||||
| Total | 29 | 167.8096667 | ||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
| Intercept | 12.5830156 | 0.653921771 | 19.24239 | 2.71E-17 | 11.24127895 | 13.92475224 | 11.24127895 | 13.92475224 |
| Facts | 1.317331023 | 0.88956791 | 1.480866 | 0.150219 | -0.507911562 | 3.142573607 | -0.507911562 | 3.142573607 |
| Stars | 0.897746967 | 1.042226969 | 0.861374 | 0.396618 | -1.240726133 | 3.036220067 | -1.240726133 | 3.036220067 |
Solution
these are just the data, pls provide with the information what to be done with this.
