The Bubble Up Bottling Company of Budapest, Hungary, is interested in forecasting sales | ||||||||
of Bubble Up over the next two years. The company has analyzed Bubble Up's market share | ||||||||
for its service area over the past 20 quarters. Market share has generally been growing as | ||||||||
indicated in the table B below. | ||||||||
During this same five year period, total soft drink sales in the region (as measured in | ||||||||
100,000s of cases) have been as in the table A below. | ||||||||
Table A (in 100,000s of cases) | ||||||||
Year | ||||||||
Season | 1 | 2 | 3 | 4 | 5 | |||
Winter | 114 | 114 | 124 | 132 | 134 | |||
Spring | 130 | 146 | 151 | 160 | 166 | |||
Summer | 158 | 177 | 175 | 184 | 205 | |||
Fall | 131 | 142 | 146 | 144 | 148 | |||
The company would like to forecast Bubble Up soft drink sales for years 6 and 7. To do so, | ||||||||
use a linear trend model to forecast market share for each quarter of years 6 and 7 and | ||||||||
seasonal model to forecast total soft drink sales in these periods. Then multiply | ||||||||
the forecast of total soft drink sales by Bubble Up's sales during this period. | ||||||||
Prepare a business report to Bubble Up management containing your forecast and | ||||||||
explaining your approach. | ||||||||
Table B | ||||||||
Year | Season | Bubble Up's Market Share (in Percent) | ||||||
1 | Winter | 6.42 | ||||||
1 | Spring | 6.58 | ||||||
1 | Summer | 6.99 | ||||||
1 | Fall | 6.82 | ||||||
2 | Winter | 6.64 | ||||||
2 | Spring | 6.46 | ||||||
2 | Summer | 6.7 | ||||||
2 | Fall | 7 | ||||||
3 | Winter | 6.7 | ||||||
3 | Spring | 6.84 | ||||||
3 | Summer | 6.78 | ||||||
3 | Fall | 6.48 | ||||||
4 | Winter | 6.93 | ||||||
4 | Spring | 6.79 | ||||||
4 | Summer | 6.83 | ||||||
4 | Fall | 7.21 | ||||||
5 | Winter | 7.73 | ||||||
5 | Spring | 8.16 | ||||||
5 | Summer | 8.36 | ||||||
5 | Fall | 8.23 |
How do you find the slope for the seasonal regression. I have a template to plug the numbers into, but i dont know what to plug in
SOLUTION;-
Step 1: Determine total sales in year 6 and 7 using
multiplicative seasonal method
All the cells containing formula are shown below
Column A,B,C,D do contain any formula, hence not shown.
Step 2: Determine BubbleUp's market share using linear trend model
Market share for each season of the next two years (6 and 7) is determined by the linear trend model. For example, for winter season of year 6, time index (x) = 21. Forecast of market share = 6.2177+0.0766*21 = 7.85
Step 3: Determine BubbleUp's sales forecast for year 6 and 7 by multiplying the Total sales forecast of each season by the forecast of market share for corresponding season.
The Bubble Up Bottling Company of Budapest, Hungary, is interested in forecasting sales of Bubble Up...
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