1 / 3

Compute a 3-month weighted moving average Your Dreams Our Mission/tutorialoutletdotcom

FOR MORE CLASSES VISIT<br>www.tutorialoutlet.com<br><br><br>Compute a 3-month weighted moving average forecast for November.<br>Assume weights are 9, 5, 1, on Oct., Sep., Aug., respectively.<br> <br> <br>2) Compute the single exponential smoothing forecast for November. Use smoothing constant alpha = 0.37. Assume forecast for January was 105.<br>

apjdk252
Télécharger la présentation

Compute a 3-month weighted moving average Your Dreams Our Mission/tutorialoutletdotcom

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Compute a 3-month weighted moving average Your Dreams Our Mission/tutorialoutletdotcom FOR MORE CLASSES VISIT WWW.TUTORIALOUTLET.COM

  2. Compute a 3-month weighted moving average Your Dreams Our Mission/tutorialoutletdotcom Compute a 3-month weighted moving average forecast for November. Assume weights are 9, 5, 1, on Oct., Sep., Aug., respectively FOR MORE CLASSES VISIT www.tutorialoutlet.com Compute a 3-month weighted moving average forecast for November. Assume weights are 9, 5, 1, on Oct., Sep., Aug., respectively. 2)     Compute the single exponential smoothing forecast for November. Use smoothing constant alpha = 0.37. Assume forecast for January was 105.

  3. Compute a 3-month weighted moving average Your Dreams Our Mission/tutorialoutletdotcom Product A Product B Feature 1 Feature 2 Feature 3 • Feature 1 • Feature 2 • Feature 3

More Related