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G18 x B D E F G H 14 16 13 747 1 Month 2 Item 1 3 Item 2 15 763 18 743 553 764 17 746 633 755 662 605 528 668 539 4 item 3 5 Item 4 576 496 627 377 647 287 738 673 250 832 835 6 3. Fill in actual sales and complete model for the next 6 months. Actual demand is on Sheet3. B D E 1 2 3 Month Item 1 Item 2 Item 3 Item 4 4 1 751 250 666 287 5 2 741 268 618 352 6 3 728 289 483 416 7 4 773 314 375 313 00 8 5 718 337 303 359 9 6 752 367 242 440 10 7 736 391 210 520 11 00 8 768 409 239 391 12 9 729 433 342 449 13 10 777 459 396 550 14 11 748 481 457 650 15 12 756 500 587 489 16 17 Assignment: 1. Graph each item's sales history on the Graphs tab. Give an example of a product that might fit that pattern. Item1 Item2 Item3 ;item4 2. Forecast the next 6 months of Item 4 using exponential smoothing, alpha = .3 Forecast for next 6 months: Month13 Month14 Month15 Month16 Month17 Month18 3. Fill in actual sales and complete model for the next 6 months. Actual demand is on Sheet3. 4. Determin error and bias of forecast: MAD MAPE TS