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)