Question
The relationship between total operating cost and quantity produced (in a manufacturing company) is given by the linear regression model TC = 5,000 + 500Q,
The relationship between total operating cost and quantity produced (in a manufacturing company) is given by the linear regression model TC = 5,000 + 500Q, where TC = total operating cost (in shs ) per annum and Q = quantity produced per annum (kg). What reservations might you have about relying on the above model for decision-making purposes? (5 MARKS)
Trans-Atlantic Sports House Inc is a sports fitters operating in the Mid-Western states in the USA. The demand for one of its major products called Skateboard has been observed to follow a pattern of seasonality aligned to the 4 distinct seasons of the year as follows:
Year
Spring
(Demand in units)
Summer
(Demand in units)
Autumn
(Demand in units)
Winter
(Demand in units)
2015
45,000
22,000
64,000
33,000
2016
48,000
27,000
74,000
41,000
2017
52,000
32,000
83,000
46,000
2018
57,000
35,000
94,000
52,000
Required:
Calculate the seasonal indices for each season using multiplicative index
Forecast the demand for each season of the year 2019 given that the annual demand forecast is 284,000 units.
Deseasonalize the actual demand data (2015-2018) above using the seasonal indices obtained in (a) above.
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