Question: The following computer printout estimated overhead costs using regression: t for H(0) Std. error Parameter Estimate Parameter = 0 Pr > t of parameter Intercept
The following computer printout estimated overhead costs using regression:
| t for H(0) | Std. error | |||
| Parameter | Estimate | Parameter = 0 | Pr > t | of parameter |
| Intercept | 100.41 | 4.81 | 0.0003 | 20.88 |
| DLH | 14.05 | 6.78 | 0.0001 | 2.07 |
| R Square (R2) | 0.80 | |||
| Standard Error (Se) | 25.03 | |||
| Observations | 17 |
Please find the following statistical table
| degrees of freedom | 90% | 95% | 99% | degrees of freedom | 90% | 95% | 99% |
| 1 | 6.314 | 12.708 | 63.657 | 11 | 1.796 | 2.201 | 3.106 |
| 2 | 2.920 | 4.303 | 9.925 | 12 | 1.782 | 2.179 | 3.055 |
| 3 | 2.353 | 3.182 | 5.841 | 13 | 1.771 | 2.160 | 3.055 |
| 4 | 2.132 | 2.776 | 4.604 | 14 | 1.761 | 2.145 | 3.012 |
| 5 | 2.015 | 2.571 | 4.032 | 15 | 1.753 | 2.131 | 2.947 |
| 6 | 1.943 | 2.447 | 3.707 | 16 | 1.746 | 2.120 | 2.921 |
| 7 | 1.895 | 2.365 | 3.499 | 17 | 1.740 | 2.110 | 2.898 |
| 8 | 1.860 | 2.306 | 3.355 | 18 | 1.734 | 2.101 | 2.878 |
| 9 | 1.833 | 2.262 | 3.250 | 19 | 1.729 | 2.093 | 2.861 |
| 10 | 1.812 | 2.228 | 3.169 | 20 | 1.725 | 2.086 | 2.845 |
During the last accounting period 10,000 DLH were worked. What is the model?
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