Question: what is the estimated regression equation for the expected value of Average remuneration per employee ? SUMMARY OUTPUT Regression Statistics Multiple R 0.21 R Square
what is the estimated regression equation for the expected value of Average remuneration per employee?
| SUMMARY OUTPUT | ||||||||
| Regression Statistics | ||||||||
| Multiple R | 0.21 | |||||||
| R Square | 0.04 | |||||||
| Adjusted R Square | 0.04 | |||||||
| Standard Error | 24993.90 | |||||||
| Observations | 1500.00 | |||||||
| ANOVA | ||||||||
| df | SS | MS | F | Significance F | ||||
| Regression | 3 | 4.2261E+10 | 1.4087E+10 | 22.5504083 | 2.7936E-14 | |||
| Residual | 1496 | 9.3454E+11 | 624695032 | |||||
| Total | 1499 | 9.7681E+11 | ||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
| Intercept | 46698.51437 | 1402.74398 | 33.2908321 | 2.594E-182 | 43946.9605 | 49450.0682 | 43946.9605 | 49450.0682 |
| Turnover (m) | 64.0254207 | 28.3381484 | 2.25933677 | 0.02400583 | 8.43869775 | 119.612144 | 8.43869775 | 119.612144 |
| Profit margin (%) | -57.12706052 | 41.585479 | -1.3737262 | 0.16973252 | -138.6991 | 24.4449769 | -138.6991 | 24.4449769 |
| Overseas turnover (%) | 170.0340633 | 21.0958554 | 8.06006961 | 1.5457E-15 | 128.653467 | 211.414659 | 128.653467 | 211.414659 |
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