The following excel printout provides information to estimate overhead costs using linear regression.

Coefficient Standard-Error-Stat P-Value Lower 95% Upper 95%

Intercept 6035.99 1411.05 4.28 0.003 2782.09 9289.89

DLH 4.56 1.61 2.83 0.022 0.85 8.27

#Setups 771.1 54.93 14.03 6.44e-07 644.42 897.78

# Moves 29.94 2.87 10.42 6.26E-06 23.31 36.57

Regression Statistics

Multiple R 0.9966

R-Square 0.9932

Adjusted R-Square 0.9906

Standard Error 347.96

Observations 12

The output suggest that?

A) 99.32% variation in the overhead cost is explained by changes in DLH, # setups, and # moves

B) 99.32% variation in the overhead cost is explained by changed in DLH

C) 99.06% variation in the overhead cost is explained by changes in DLH, # setups, and # moves

D) 99.67% variation in the overhead cost is explained by changes in DLH, # setups, and # moves