Based on the given sales volume of AZ’s sanitizer product for 16 weeks, construct the trend projection using graphs, 3 weeks moving average, and exponential smoothing methods. Weeks Sanitizer sales 1 5600 2 5200 3 4570 4 4305 5 5465 6 8900 7 15680 8 24680 9 35040 10 36500 11 38575 12 35300 13 35200 14 35150 15 34950 16 34500
We have used Excel to help you solve the problem.
First, we have entered the data as follows:
Select the column of the data (not the time) including the label > Insert > Insert Line or Area Chart > Line (under 2-D Line).
Go to Design > Quick Layout, and select a layout which displays the chart title, and both axes titles.
The following output is obtained:
After a more-or-less constant sales for the first 4 weeks, the graph shows an exponential increase till the 9th week. Thereafter, the sanitizer sales become relatively constant aside from slight fluctuations.
For the 3-week moving average, go to Data Analysis > Moving Average > OK.
Enter Input Range as $B$1:$B$16, tick on Labels, and enter Output Range as $C$2.
Click OK.
The relevant moving average values are stored in column C.
For an exponential smoothing (smoothing or damping constants unknown), go to Data Analysis > Exponential Smoothing > OK.
Enter Input Range as $B$1:$B$16, tick on Labels, and enter Output Range as $D$2.
Click OK.
The relevant exponential smoothing values are stored in column D.
The following image shows the moving average and exponential smoothing projections for the time periods given here:
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