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Regression analysis of the data given in Question 4 (part 1) produced the following output: SUMMARY OUTPUT Regression Statistics Multiple R 0.705591269 R Square 0.497859039

Regression analysis of the data given in Question 4 (part 1) produced the following output:

SUMMARY OUTPUT

Regression Statistics

Multiple R

0.705591269

R Square

0.497859039

Adjusted R Square

0.447644943

Standard Error

197087.9555

Observations

12

ANOVA

,

df

SS

MS

F

Regression

1

3.85124E+11

3.85E+11

9.914727

Residual

10

3.88437E+11

3.88E+10

Total

11

7.73561E+11

,

,

,

Coefficients

Standard Error

t Stat

P-value

Intercept

30380.8769

368988.5767

-0.08234

0.936005

X Variable 1

1.46970772

0.466756746

3.148766

0.010355

(c) Write the total cost formula based on the above summary output.

(1 mark)

(d) Would you recommend that the company use the regression formula in (c) for estimating the total overhead cost? Why, or why not?

(3 marks)

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