Question: The following computer printout estimated overhead costs using multiple regression: t for H(0) Std. error Parameter Estimate Parameter = 0 Pr > t of parameter

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.

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