In: Statistics and Probability
Naïve Approach- Using the naïve approach forecast the average domestic airfare for 2014. Explain how you calculated this value. How accurate do you think this forecast is?
Moving Averages: Using the 4-year moving average approach forecast the average airfare for 2014. Explain how you calculated this value. How accurate do you think this forecast is?
Exponential Smoothing: Using the exponential smoothing approach with α = 0.40 forecast average airfare for 2014. Explain how you calculated this value. Round each forecast to the nearest dollar and use the rounded amount in the formula for the following year. Year Average Airfare Forecast for time period:
Year Average Airfare
Year | Average Airfare | Forecast for time period |
2008 | 379.86 | |
2009 | 341.27 | |
2010 | 363.51 | |
2011 |
381.14 |
|
2012 | 385.00 | |
2013 | 85.97 |
Naive Approach:
Data | Forecasts and Error Analysis | ||||||
Period | Demand | Forecast | Error | Absolute | Squared | Abs Pct Err | |
Period 1 | 379.86 | ||||||
Period 2 | 341.27 | 379.86 | -38.59 | 38.59 | 1489.188 | 11.31% | |
Period 3 | 363.51 | 341.27 | 22.24 | 22.24 | 494.6176 | 06.12% | |
Period 4 | 381.14 | 363.51 | 17.63 | 17.63 | 310.8169 | 04.63% | |
Period 5 | 385 | 381.14 | 3.86 | 3.86 | 14.8996 | 01.00% | |
Period 6 | 385.97 | 385 | 0.97 | 0.97 | 0.9409 | 00.25% | |
Total | 6.11 | 83.29 | 2310.463 | 23.31% | |||
Average | 1.222 | 16.658 | 462.0926 | 04.66% | |||
Bias | MAD | MSE | MAPE | ||||
SE | 27.75166 | ||||||
Next period | 385.97 |
Moving Average:
Data | Forecasts and Error Analysis | ||||||
Period | Demand | Forecast | Error | Absolute | Squared | Abs Pct Err | |
Period 1 | 379.86 | ||||||
Period 2 | 341.27 | ||||||
Period 3 | 363.51 | ||||||
Period 4 | 381.14 | ||||||
Period 5 | 385 | 366.445 | 18.555 | 18.555 | 344.288 | 04.82% | |
Period 6 | 385.97 | 367.73 | 18.24 | 18.24 | 332.6976 | 04.73% | |
Total | 36.795 | 36.795 | 676.9856 | 09.55% | |||
Average | 18.3975 | 18.3975 | 338.4928 | 04.77% | |||
Bias | MAD | MSE | MAPE | ||||
Next period | 378.905 |
Exponential Smoothing:
Alpha | 0.4 | ||||||
Data | Forecasts and Error Analysis | ||||||
Period | Demand | Forecast | Error | Absolute | Squared | Abs Pct Err | |
Period 1 | 379.86 | 369.25 | 10.61 | 10.61 | 112.5721 | 02.79% | |
Period 2 | 341.27 | 369.25 | -27.98 | 27.98 | 782.8804 | 08.20% | |
Period 3 | 363.51 | 358.058 | 5.452 | 5.452 | 29.7243 | 01.50% | |
Period 4 | 381.14 | 360.2388 | 20.9012 | 20.9012 | 436.8602 | 05.48% | |
Period 5 | 385 | 368.5993 | 16.40072 | 16.40072 | 268.9836 | 04.26% | |
Period 6 | 385.97 | 375.1596 | 10.81043 | 10.81043 | 116.8654 | 0.0280085 | |
Total | 36.19435 | 92.15435 | 1747.886 | 25.04% | |||
Average | 6.032392 | 15.35906 | 291.3143 | 04.17% | |||
Bias | MAD | MSE | MAPE | ||||
SE | 20.90386 | ||||||
Next period | 379.483741 |
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