The results of the regression analysis to estimate setup costs using the number of setup hours are as follows: SUMMARY OUTPUT                 Regression Statistics       Multiple R 0.965127       R Square 0.931469       Adjusted R Square 0.921679       Standard Error 285.6803       Observations 9                 ANOVA           df SS MS F Regression 1 7765004 7765004 95.14395 Residual 7 571292.5 81613.21   Total 8   8336296                 Coefficients Std Error t Stat P-value Intercept 2498.644 680.6304 3.671073 0.007953 X Variable 1 2.506915 0.257009 9.754176 2.52E–05           What percentage change (rounded to one decimal place) in setup costs can be explained by changes in setup hours? a.95.1% b.96.5% c.25.7% d.none of these e.93.1%

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The results of the regression analysis to estimate setup costs using the number of setup hours are as follows:

SUMMARY OUTPUT

 

 

 

 

 

 

 

 

Regression Statistics

 

 

 

Multiple R

0.965127

 

 

 

R Square

0.931469

 

 

 

Adjusted R Square

0.921679

 

 

 

Standard Error

285.6803

 

 

 

Observations

9

 

 

 

 

 

 

 

 

ANOVA

 

 

 

 

 

df

SS

MS

F

Regression

1

7765004

7765004

95.14395

Residual

7

571292.5

81613.21

 

Total

8

 

8336296

 

 

 

 

 

 

 

 

Coefficients

Std Error

t Stat

P-value

Intercept

2498.644

680.6304

3.671073

0.007953

X Variable 1

2.506915

0.257009

9.754176

2.52E–05

 

 

 

 

 


What percentage change (rounded to one decimal place) in setup costs can be explained by changes in setup hours?

a.95.1%
b.96.5%
c.25.7%
d.none of these
e.93.1%
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