Suppose a company has the following sales for the last six months (January – June):
Month | Period | Sales |
January | 1 | 16 |
February | 2 | 25 |
March | 3 | 20 |
April | 4 | 20 |
May | 5 | 31 |
June | 6 | 35 |
July | 7 | 26 |
August | 8 | (a) |
Use this information to answer the following 7 questions:
ques 1 given the information above
1.Use exponential smoothing (a= 0.10) to forecast the sales for August (to 2 decimals). What is the value?
2. Compute the MSE for the exponential smoothing method from the above question (to 2 decimals).
3.Use a 2-period moving average to forecast the sales for August (to 2 decimals). (i.e.find (a) using a 2-period moving average)
4. What is the mean square error (MSE) for the 2-period moving average from the previous question?
5. Which method do you prefer to forecast sales (to 2 decimals)? Why?
6.Using January through July values, develop a linear trend equation for this time series (to 4 decimals). Please write the equation in the proper form.
7.Using your answer from (7), what is the average change in sales per month for this company (to 2 decimals)?
Heyyyy i need extreme help this is one question asking various if that makes sense. andi can ask them separately because this is how they were given to support the information
1) and 2)
period | sales | forecast | error^2 |
1 | 16 | 16 | 0 |
2 | 25 | 16 | 81 |
3 | 20 | 16.9 | 9.61 |
4 | 20 | 17.21 | 7.78 |
5 | 31 | 17.49 | 182.55 |
6 | 35 | 18.84 | 261.14 |
7 | 26 | 20.46 | 30.73 |
8 | 21.01 | ||
MSE | 81.83 | ||
3) and 4)
period | sales | forecast | error^2 |
1 | 16 | ||
2 | 25 | ||
3 | 20 | 20.5 | 0.25 |
4 | 20 | 22.5 | 6.25 |
5 | 31 | 20 | 121 |
6 | 35 | 25.5 | 90.25 |
7 | 26 | 33 | 49 |
8 | 30.5 | ||
MSE | 53.35 |
5)
we prefer moving average as its MSE is lower
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