Answer :
Forecast using
Duration | Year | Enrolment | 3 Year moving average | Using weigh of 0.5,0.3 and 0.2 | Exponential smoothing with smooting contant 0.3 | Trend line projection |
1 | 2011 | 5200 | - | - | 5200 | 4789 |
2 | 2012 | 5500 | - | - | 5200 | 5398 |
3 | 2013 | 6000 | - | - | 5290 | 6007 |
4 | 2014 | 6500 | 5567 | 5690 | 5503 | 6616 |
5 | 2015 | 6800 | 6000 | 6150 | 5802 | 7225 |
6 | 2016 | 7000 | 6433 | 6550 | 6101 | 7835 |
7 | 2017 | 8800 | 6767 | 6840 | 6371 | 8444 |
8 | 2018 | 9400 | 7533 | 7860 | 7100 | 9053 |
9 | 2019 | 9600 | 8400 | 8740 | 7790 | 9662 |
10 | 2020 | 10500 | 9267 | 9380 | 8333 | 10271 |
Error square using
- | 3 Year moving average | Using weight of 0.5,0.3 and 0.2 | Exponential smoothing with smoothing constant 0.3 | Trend line projection |
- | - | - | 0 | 168846 |
- | - | - | 90000 | 10367 |
- | - | - | 504100 | 53 |
- | 870489 | 656100 | 994009 | 13540 |
- | 640000 | 422500 | 995804 | 181012 |
- | 321489 | 202500 | 807356 | 696466 |
- | 4133089 | 3841600 | 5899900 | 126995 |
- | 3485689 | 2371600 | 5291287 | 120598 |
- | 1440000 | 739600 | 3276809 | 3821 |
- | 1520289 | 1254400 | 4696483 | 52483 |
MSE | 1773006 | 1355471 | 2255575 | 137418 |
(a). Forcast using 3 years moving average = average fo last 3 years enrolment
(b). Forcast using weighted average menthod = (0.5*last month enrolment) + (0.3* last second month enrolment) + (0.2* last third month enrolment)
(c). Forecast using exponential smoothing = 0.3*last month enrolment + (10.3)*last month forecast
(d). Forecast using trendline = mx + c
Where m = slope = 609
x = duration
c = Intercept = 4180
(e). Error square = (Actual enrolment - forecast)^2
MSE = average of all error square
since trendline method has least MSE hence it is the most accurate model recommended.
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