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Unformatted text preview: Squares
Regression df Square F 1.763 12 .008 1.860 Total .881 .097 Residual 2 Sig. 108.856 .000(a) 14 a Predictors: (Constant), Lnlab, Lncap
b Dependent Variable: Lnprod
Coefficients(a) Unstandardized Standardized Coefficients Coefficients
T Model
1 B
(Constant) Std. Error 4.749
1.078 .250 Lncap .415 .135 Beta .809 Lnlab Sig. 5.901 .000 .586 4.303 .001 .418 3.070 .010 a Dependent Variable: Lnprod
[TOTAL : 20 MARKS] 8 BMME5103/SEPT 07F/KN PART B
INSTRUCTIONS: 1. THERE ARE FOUR (4) QUESTIONS IN THIS PART.
2. ANSWER TWO (2) QUESTIONS ONLY.
Question 1 a) What are the criteria that you would use to select an appropriate forecasting
technique?
[5 marks] b) The economic analysis division of Mapco Enterprises has estimated the
demand function for its line of weed trimmers as
QD = 18,000 + 0.4N  350 PM + 90PS
Where N = number of new homes completed in the primary market area
PM = Price of the Mapco trimmer
PS = price of its competitorâ€™s Surefire trimmer
In 2006, 15,000 new homes are expected...
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 Spring '14
 Accounting

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