FORECAST BY EXPONENTIAL SMOOT
This forecast model is used for one step ahead forecasting. Forecast of next time unit is observed data and previous forecast. The smoothing constant you have entered is the w Smoothing Constant:
0.2
Forecast
MAPE Mean absolute percent MSE The mean squared erro MAD Mean absolute deviatio 200 250 175 186 225 285 305 190 210 245 185 254 135 189 240 261 275 210 165 211 202 197 192 187 183 178 173 400 163 185
Error
200.00 0.00 200.00 -50.00 210.00 35.00 203.00 17.00 199.60 -25.40 204.68 -80.32 220.74 -84.26 237.60 47.60 228.08 18.08 224.46 -20.54 228.57 43.57 219.85 -34.15 226.68 91.68 208.35 19.35 204.48 -35.52 211.58 -49.42 221.47 -53.53 232.17 22.17 227.74 62.74 215.19 4.19 214.35 12.35 211.88 14.88 208.91 16.91 205.52 18.52 201.82 18.82 198.06 20.06 194.04 21.04 189.84 -210.16 231.87 68.87 218.09 33.09 211.48
Data - F
Unit
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32
Data Forecast
400 375 350 325 300 275 250 225 200 175 150 125 100 75 50 25 0
12 34567891 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 0123 4567890123 456789
Ti
Error In 100 75 50 25 0
Unit
Period
-25 -50 -75 -100 -125 -150 -175 -200 -225
123456 7891 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 01234567890123456789
-100 -125 -150
33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
-175 -200 -225
123456 7891 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 01234567890123456789
T
NTIAL SMOOTHING
ecast of next time unit is done according to the previous ou have entered is the weight of previous forecast value. Forecast Evalution Mean absolute percentage error The mean squared error Mean absolute deviation
0.1853 3,209.7475 40.9739
Data - Forecast Chart
Observed Data Forecast
4567891 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 6 0123 4567890123 45678901234 56789012345 67890123456 7890
Time
Error In Forecast Chart
Error In Forecast
456 7891 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 6 01234567890123456789012345678901234567 8901234567890
e^2 0 2500 1225 289 645.16 6451.3 ### 2265.3 326.75 421.85 ### ### ### 374.31 ### ### ### 491.62 ### 17.56 152.58 221.47 285.8 343.15 354.17 402.23 442.87 ### ### ###
e/d 0 0.2 0.2 0.09 0.11 0.28 0.28 0.25 0.09 0.08 0.24 0.13 0.68 0.1 0.15 0.19 0.19 0.11 0.38 0.02 0.06 0.08 0.09 0.1 0.1 0.11 0.12 0.53 0.42 0.18
456 7891 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 6 01234567890123456789012345678901234567 8901234567890
Time
1 0 1 50 1 35 1 17 1 25.4 1 80.32 1 84.26 1 47.6 1 18.08 1 20.54 1 43.57 1 34.15 1 91.68 1 19.35 1 35.52 1 49.42 1 53.53 1 22.17 1 62.74 1 4.19 1 12.35 1 14.88 1 16.91 1 18.52 1 18.82 1 20.06 1 21.04 1 210.16 1 68.87 1 33.09 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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Follow the steps to enable your Exponential Smoothing Forec >>
Your Exponential Smoothing Forecast is ready to use. Following steps are for online use.
1)
Visit the site below: http://www.spreadsheetweb.com/getting_started.htm You will only need the username and password to create your Exponential Smoothing Forecast.
2)
Visit the site below: http://trial.spreadsheetweb.com/spreadsheetweb/ Login to page with your new account information.
3)
Click "Add Web Application" to upload this file. Your Exponential Smoothing Forecast will be created autom You can simply use the Exponential Smoothing Forecast from that link or place it on your website.
>>
Your Exponential Smoothing Forecast will look like:
http://www1.spreadsheetweb.com/SpreadSheetWeb/Output.aspx?ApplicationId=f6f1582f-ecda-4188-b607>>
In order to see more online applications created with PSW you can check the link below: http://www.spreadsheetweb.com/demos.htm
Copyright (c) 2009 Pagos, Inc. http://www.pagos.com/
moothing Forecast.
hing Forecast.
ast will be created automatically.
on your website.
6f1582f-ecda-4188-b607-259771b7d889