15 20 00 20 40 60 80 100 time Line Fit Plot Sales 1 Predict time Sales 1000s

15 20 00 20 40 60 80 100 time line fit plot sales 1

This preview shows page 5 - 12 out of 12 pages.

15 20 0.0 2.0 4.0 6.0 8.0 10.0 time Line Fit Plot Sales (1 Predict time Sales (1000s)
Image of page 5
Image of page 6
00s) me) d(time) cted period(time) 1000s) ted Sales (1000s)
Image of page 7
Image of page 8
period(time) Sales (1000s) Forecast(Sales (1000s)) 1 4.8 2 4.1 3 6.0 4 6.5 5 5.8 6 5.2 7 6.8 8 7.4 9 6.0 10 5.6 11 7.5 12 7.8 13 6.3 14 5.9 15 8.0 16 8.4 8.4 17 7.3 18 6.6 19 8.4 20 9.0 1 2 0.0 2.0 4.0 6.0 8.0 10.0 12.0
Image of page 9
Lower Confidence Bound(Sales (1000s)) Upper Confidence Bound(Sales (1000s)) 8.4 8.4 6.9 7.8 6.2 7.1 7.9 9.0 8.4 9.6 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Sales (1000s) Forecast(Sales (1000s)) Lower Confidence Bound(Sales (1000s)) Upper Confidence Bound(Sales (1000s))
Image of page 10
Statistic Value Column1 Alpha 0.50 base Beta 0.00 trend Gamma 0.00 seasonality MASE 0.22 SMAPE 0.03 MAE 0.20 RMSE 0.27
Image of page 11
period(timSales (1000s) 1 4.8 2 4.1 3 6.0 4 6.5 5 5.8 6 5.2 7 6.8 8 7.4 9 6.0 10 5.6 11 7.5 12 7.8 13 6.3 14 5.9 15 8.0 16 8.4
Image of page 12

You've reached the end of your free preview.

Want to read all 12 pages?

  • Fall '16
  • NAJARA
  • Regression Analysis, 4 k, yhat, 1 1 1 1 2 2 2 2 3 3 3 3 4 4 4 4 Quarter, 007 0.118967 0.172283 0.118967 k

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture