the sales data in the following table are for quarterly exports of a French company. Year...
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the sales data in the following table are for quarterly exports of a French company. Year Quarter Period Year Quarter Period Sales (1000 fracs) 362 385 1 2 3 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 5 6 7 8 9 10 11 12 432 341 382 409 498 387 473 513 582 474 4 5 6 1 2 3 4 1 2 3 4 1 2 3 4 13 14 15 16 17 18 19 20 21 22 23 24 Sales (1000 fracs) 544 582 681 557 628 707 773 592 627 725 854 661 (1) Determine the trend model and forecast model using the multiplicative decomposition method. (2) Compute the forecasts for all 6 years using the forecast model obtained in (1) and plot forecasts vs. actual sales Plot forecasts vs. actual sales. the sales data in the following table are for quarterly exports of a French company. Year Quarter Period Year Quarter Period Sales (1000 fracs) 362 385 1 2 3 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 5 6 7 8 9 10 11 12 432 341 382 409 498 387 473 513 582 474 4 5 6 1 2 3 4 1 2 3 4 1 2 3 4 13 14 15 16 17 18 19 20 21 22 23 24 Sales (1000 fracs) 544 582 681 557 628 707 773 592 627 725 854 661 (1) Determine the trend model and forecast model using the multiplicative decomposition method. (2) Compute the forecasts for all 6 years using the forecast model obtained in (1) and plot forecasts vs. actual sales Plot forecasts vs. actual sales.
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Answer rating: 100% (QA)
1 Using multiplicative decomposition method Trend Model Multiplicative seasonality with quarterly effect Trend T 102Quarter Seasonality S 1 095 110 09... View the full answer
Related Book For
Basic Statistics for the Behavioral Sciences
ISBN: 978-0840031433
6th edition
Authors: Gary W. Heiman
Posted Date:
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