D Question 9 37.5 pt Time Series Decomposition for Transsales Method Model type

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D Question 9 37.5 pt Time Series Decomposition for Transsales Method Model type Multiplicative Model Data TransSales1000 Length 24 N Missing 0 Fitted Trend Equation Time Series Decomposition for TransSales1000 Method Model type Multiplicative Model Accuracy Measures MAPE 3.911 MAD 13.336 MSD 348 716 Forecasts Period Forecast 25 257.135 506.97+5.030t Seasonal Indices 0.59424 1.64660 Period Index 1.09257 . 4 0.66659 Time Series Decomposition Plot for TransSales Multiplicative Model Quarterly Data, Years 2010-2016 200 The seasonal indexes in the output above for TransSales1000 The seasonal indices show that in period 3. revenues are 65% higher than average across the year The seasonal indices show that in period 3, revenues are 65 percent higher than average sales across the year. The seasonal indices show that in period 3. revenues are 165% higher than average across the year. The seasonal indices show that in period 3, revenues are 165,000 dollars higher than average across the year O

Explanation / Answer

Here seasonal index are given below.

FOr quarter 1 : 0.5942

For quarter 2 : 1.0926

For quarter 3 : 1.6466

For quarter 4 : 0.6566

Here as we see for quarter 3 , seasonal index is 1.6466 so that means revenues are 65% higher than the average sales across per year. So option b is correct.

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