he following computer printout estimated overhead costs using multiple regression: t for H(0) Std. error Parameter Estimate Parameter = 0 Pr > t of parameter Intercept 1000 1.96 0.0250 510.204 Setup hours 25 81.96 0.0001 0.305 # of parts 100 9.50 0.0001 10.527 R Square (R2) 0.94 Standard Error (Se) 75.00 Observations 160 During the year the company used 1,000 setup hours and 500 parts. The model being measured is a. Overhead = 0.98 + 40.98(Setup hours) + 4.865(# of parts) b. Overhead = 510 + 0.305(Setup hours) + 10.527(# of parts) c. Overhead = 1,000 + 25(Setup hours) d. Overhead = 1,000 + 25(Setup hours) + 100(# of parts)