Question

The following computer printout estimated overhead costs using regression: t for H(0) Std. error Parameter Estimate...

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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Answer #1

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.

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