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?
The above model is termed as Millar and midgilani model.
The regression table can be used in different model. And also for different statistical test like Chi-square test, F test, T test.
Here, the total cost can be calculated by using various formulas and statistical table.
The following computer printout estimated overhead costs using regression: t for H(0) Std. error Parameter Estimate...
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