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MTH301 Week 8 Homework 1. Month Sales January $450,000 February $375,000 March $425,000 April $475,000 May $375,000 June Using a 2 month moving average what
MTH301 Week 8
Homework
1.
Month | Sales |
January | $450,000 |
February | $375,000 |
March | $425,000 |
April | $475,000 |
May | $375,000 |
June |
- Using a 2 month moving average what would be the sales forecast be for June
- Using a 3 month moving average what would be the sales forecast be for June
- Using a 4 month weighted average with the following weight (30% for the most recent period, 25%for the next period, 25% for the next period and 20% for the furthest period) What would the sales forecast be for the month of June
2.
TSV | Forecast | Error | Sq Error | ||
| |||||
| 71 | -1.00 | 1 | ||
| |||||
| |||||
| |||||
Using a= .1 for exponential smoothing, complete the above chart
What is the Forecast for period 6?
What is the sum of the squared errors?
What is the Mean Squared Error?
3.
Quarter | Year 1 | Seasonal Index | Year 2 | Seasonal Index | Average Index | Year 3 |
Fall | 12,000 | 1.2 | 13,000 | 1.238 | 1.22 | 13,725 |
Winter | 11,500 | 11,000 | ||||
Spring | 9,500 | 9,500 | ||||
Summer | 7,000 | 8,500 | ||||
Total | 40,000 | X | 42,000 | X | X | 45,000 |
Average | 10,000 | X | 10,500 | X | X | 11,250 |
Fill in the above chart on seasonal averaging.
4. Here is the sales and profit data for a sporting goods company with 12 stores. Use the data to answer the regression problem #4.
Sales in $ millions | Profits in $ millions |
7 | .15 |
2 | .10 |
6 | .13 |
4 | .15 |
14 | .25 |
15 | .27 |
16 | .24 |
12 | .20 |
14 | .27 |
20 | .44 |
15 | .34 |
7 | .17 |
- What is the r value?
- Do you consider the correlation strong?
- What is the expected profit when sales are $10 million?
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