Three Month Rolling Average	2 Month Weighted Moving Average	Exponential Smoothing
$2,365.23	$2,366.84	$2,339.28
$8,115.92	$8,074.93	$7,951.89
$35,844.38	$40,131.65	$36,301.60
$11,566.05	$11,647.90	$11,396.80
$12,600.15	$13,422.26	$12,742.35
$96.94	$93.19	$94.32
$3,787.96	$3,374.61	$3,829.85
$10,289.75	$10,266.06	$9,933.15
$14,331.88	$14,940.22	$14,947.20
$19,419.12	$18,087.52	$18,930.27

I got this data for the month of December doing the three methods. Each figure is from a store for December so the top row is the figures from the methods for store #1 out of ten etc.

I have been folded the following but how the hell do I calculate the accuracy if I do not know the actual data for December? the methods used guessed the December amount but I do not know it. Please help me.

1. Compute measures of forecast accuracy to recommend the best forecasting technique to use for the data.
2. Rank the 10 stores based on the forecasts you made with the technique that you determined (in the above step) to be the best forecasting method.

Answer rating: 100% (QA)

a You can use the mean absolute percentage error MAPE to compare the accuracy of the different forecasting methods The MAPE for each store would be St... View the full answer