35) The following computer printout estimated overhead costs using regression: (1.67pts) t for H(0) Std. error Parameter Estimate Parameter = 0 Pr>t of parameter 100.41 4.81 0.0003 20.88 Intercept DLH 14.05 6.78 0.0001 2.07 R Square (R2) 0.80 25.03 Standard Error (Se) 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 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? O Overhead = 4.81 + 6.78 DLH O Overhead = 100.41 + 14.05 DLH O Overhead = 14.05 + 100.41 DLH O DLH = 4.81 +6.78 Overhead