Using only the Chicago sales data, generate the following sales forecasts in Excel:
Naïve forecasts (using the deseasonalized sales data) for January 5th through January 30th. You will need to adjust the sales data to remove the seasonality effects.
Four-day moving average forecasts for January 8th through January 30th.
Twelve-day moving average forecasts for January 16th through January 30th.
Note that, for example, you will not be able to make a four-day moving average forecast for January 7th since four previous sales figures are required.
Date |
Chicago |
Seasonal Relatives for Chicago Sales |
1/4/18 |
152 |
0.3 |
1/5/18 |
195 |
0.4 |
1/6/18 |
653 |
1.5 |
1/7/18 |
187 |
0.5 |
1/8/18 |
240 |
0.6 |
1/9/18 |
207 |
0.8 |
1/10/18 |
311 |
0.9 |
1/11/18 |
373 |
1.2 |
1/12/18 |
225 |
0.5 |
1/13/18 |
276 |
0.3 |
1/14/18 |
475 |
0.7 |
1/15/18 |
755 |
1.1 |
1/16/18 |
732 |
1.4 |
1/17/18 |
975 |
2.2 |
1/18/18 |
170 |
0.3 |
1/19/18 |
203 |
0.7 |
1/20/18 |
288 |
0.8 |
1/21/18 |
378 |
0.9 |
1/22/18 |
400 |
1.3 |
1/23/18 |
798 |
1.6 |
1/24/18 |
1111 |
1.9 |
1/25/18 |
176 |
0.5 |
1/26/18 |
213 |
0.6 |
1/27/18 |
240 |
0.9 |
1/28/18 |
311 |
0.7 |
1/29/18 |
456 |
1 |
1/30/18 |
Below is the screenshot of the formula applied -
Below is the screenshot of the result calculated -
Get Answers For Free
Most questions answered within 1 hours.