The 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. Which slope and intercept parameters are significant at the 0.05 level?

a.setup hours

b.number of parts

c.intercept

d.All of these choices are correct.