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?