Sign Up

Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.

Have an account? Sign In

Have an account? Sign In Now

Sign In

Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.

Sign Up Here

Forgot Password?

Don't have account, Sign Up Here

Forgot Password

Lost your password? Please enter your email address. You will receive a link and will create a new password via email.

Have an account? Sign In Now

You must login to ask question.(5)

Forgot Password?

Need An Account, Sign Up Here

Please briefly explain why you feel this question should be reported.

Please briefly explain why you feel this answer should be reported.

Please briefly explain why you feel this user should be reported.

Sign InSign Up

ITtutoria

ITtutoria Logo ITtutoria Logo

ITtutoria Navigation

  • Python
  • Java
  • Reactjs
  • JavaScript
  • R
  • PySpark
  • MYSQL
  • Pandas
  • QA
  • C++
Ask A Question

Mobile menu

Close
Ask a Question
  • Home
  • Python
  • Science
  • Java
  • JavaScript
  • Reactjs
  • Nodejs
  • Tools
  • QA
Home/ Questions/The following table shows the actual demand observed over the last 11 years
Next
Answered
ptntuto
  • 6
ptntuto
Asked: April 13, 20222022-04-13T06:37:03+00:00 2022-04-13T06:37:03+00:00In: Operations-Management

The following table shows the actual demand observed over the last 11 years

  • 6

. Advertisement .

..3..

. Advertisement .

..4..

......... ADVERTISEMENT .........

..8..

The%20following%20table%20shows%20the%20actual%20demand%20observed%20over%20the%20last%2011%20years:%20Year%201%202...

The following table shows the actual demand observed over the last 11 years:
Year 1          2          3         4         5         6        7         8         9          10         11
Demand  8         8          6        10       11         7       12        13       10         9           8
Using exponential smoothing with  α = 0.50 and a forecast for year 1 of 7.0, provide the forecast from periods 2 through 12 (round your responses to one decimal place).
Year 1       2        3        4        5        6       7        8        9        10       11       12
Forecast 7.0
Revelant knowledge
Exponential smoothing is an method of thumb method for smoothing data from time series data by using an exponential window function. While in an ordinary moving average, straightforward move average the previous observations are equally weighted exponential functions are employed to assign decreasing weights over time. It is a simple and quickly applied method of making a decision that is based on assumptions previously made that are made by users, for example, seasonality. Exponential smoothing is commonly employed to analyze time-series data.
exponential smoothing
  • 1 1 Answer
  • 15 Views
  • 0 Followers
  • 0
Answer
Share
  • Facebook
  • Report

1 Answer

  • Voted
  • Oldest
  • Recent
  • Random
  1. Best Answer
    Joe Gagnon
    2022-04-13T06:37:05+00:00Added an answer on April 13, 2022 at 6:37 am

    Use the exponential smoothing technique: 

    F(2) = 0.5 x Actual demand (1) + (1-0.5) x F(1)

    = 0.5 x 8 + 0.5 x 7

    = 7.5

    F(3) = 0.5 x Actual demand (2) + (1-0.5) x F(2)

    = 0.5 x 8 + 0.5 x 7.5

    = 7.8

    F(4) = 0.5 x Actual demand (3) + (1-0.5) x F(3)

    = 0.5 x 6 + 0.5 x 7.8

    = 6.9

    F(5) = 0.5 x Actual demand (4) + (1-0.5) x F(4)

    = 0.5 x 10 + 0.5 x 6.9

    = 8.5

    F(6) = 0.5 x Actual demand (5) + (1-0.5) x F(5)

    = 0.5 x 11 + 0.5 x 8.5

    = 9.8

    F(7) = 0.5 x Actual demand (6) + (1-0.5) x F(6)

    = 0.5 x 7 + 0.5 x 9.8

    = 8.4

    F(8) = 0.5 x Actual demand (7) + (1-0.5) x F(7)

    = 0.5 x 12 + 0.5 x 8.4

    = 10.2

    F(9) = 0.5 x Actual demand (8) + (1-0.5) x F(8)

    = 0.5 x 13 + 0.5 x 10.2

    = 11.6

    F(10) = 0.5 x Actual demand (9) + (1-0.5) x F(9)

    = 0.5 x 10 + 0.5 x 11.6

    = 10.8

    F(11) = 0.5 x Actual demand (10) + (1-0.5) x F(10)

    = 0.5*9 + 0.5*10.8

    = 9.9

    F(12) = 0.5 x Actual demand (11) + (1-0.5) x F(11)

    = 0.5 x 8 + 0.5 x 9.9

    = 9

     

    • 16
    • Reply
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
      • Report

Leave an answer
Cancel reply

You must login to add an answer.

Forgot Password?

Need An Account, Sign Up Here

Sidebar

Ask A Question
  • How to Split String by space in C++
  • How To Convert A Pandas DataFrame Column To A List
  • How to Replace Multiple Characters in A String in Python?
  • How To Remove Special Characters From String Python

Explore

  • Home
  • Tutorial

Footer

ITtutoria

ITtutoria

This website is user friendly and will facilitate transferring knowledge. It would be useful for a self-initiated learning process.

@ ITTutoria Co Ltd.

Tutorial

  • Home
  • Python
  • Science
  • Java
  • JavaScript
  • Reactjs
  • Nodejs
  • Tools
  • QA

Legal Stuff

  • About Us
  • Terms of Use
  • Privacy Policy
  • Contact Us

DMCA.com Protection Status

Help

  • Knowledge Base
  • Support

Follow

© 2022 Ittutoria. All Rights Reserved.

Insert/edit link

Enter the destination URL

Or link to existing content

    No search term specified. Showing recent items. Search or use up and down arrow keys to select an item.