For the data set below Determine the leastsquares regressio
Solution
Sol)
From The Excel Out put
The fitted Regression model is
y= -0.75(X) + 142.1
| SUMMARY OUTPUT | ||||||||
| Regression Statistics | ||||||||
| Multiple R | 0.867647 | |||||||
| R Square | 0.75281 | |||||||
| Adjusted R Square | 0.670414 | |||||||
| Standard Error | 7.846443 | |||||||
| Observations | 5 | |||||||
| ANOVA | ||||||||
| df | SS | MS | F | Significance F | ||||
| Regression | 1 | 562.5 | 562.5 | 9.136437 | 0.05664 | |||
| Residual | 3 | 184.7 | 61.56667 | |||||
| Total | 4 | 747.2 | ||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
| Intercept | 142.1 | 8.229419 | 17.26732 | 0.000423 | 115.9103 | 168.2897 | 115.9103 | 168.2897 |
| X | -0.75 | 0.248126 | -3.02265 | 0.05664 | -1.53965 | 0.039649 | -1.53965 | 0.039649 |
