Here's a table with average monthly price of a stock from Jan 2021-July 2021. Month Price Jan 29000 Feb 27000 Mar 31000 Apr 30000 May 32000 June 28000 July 29000 Using a 3-period weighted moving average with weights (wt, wt-1, wt-2) = (0.6, 0.2, 0.2), the predicted price August is Using an exponential smoothing model with = 0.4, and with the initial predicted price for Jan the same as the observed price for January, the predicted price for August is % Now, let's suppose that we finally observe that the price for August is 30000. The absolute percent error (APE) of your prediction for August is using the weighted moving average method and % using the exponential smoothing model. (Note: Round your answer to the nearest 2 decimal places. For your APE answer for example let's say you get 0.06786 from Excel, then you should type-in 6.79 as your answer here since it is represented as percentage. Do not enter any symbols other than integers and decimal.)
Here's a table with average monthly price of a stock from Jan 2021-July 2021. Month Price Jan 29000 Feb 27000 Mar 31000 Apr 30000 May 32000 June 28000 July 29000 Using a 3-period weighted moving average with weights (wt, wt-1, wt-2) = (0.6, 0.2, 0.2), the predicted price August is Using an exponential smoothing model with = 0.4, and with the initial predicted price for Jan the same as the observed price for January, the predicted price for August is % Now, let's suppose that we finally observe that the price for August is 30000. The absolute percent error (APE) of your prediction for August is using the weighted moving average method and % using the exponential smoothing model. (Note: Round your answer to the nearest 2 decimal places. For your APE answer for example let's say you get 0.06786 from Excel, then you should type-in 6.79 as your answer here since it is represented as percentage. Do not enter any symbols other than integers and decimal.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![Here’s a table with the average monthly price of a stock from Jan 2021 - July 2021.
| Month | Price |
|-------|-------|
| Jan | 29000 |
| Feb | 27000 |
| Mar | 31000 |
| Apr | 30000 |
| May | 32000 |
| June | 28000 |
| July | 29000 |
Using a **3-period weighted moving average** with weights \((w_t, w_{t-1}, w_{t-2}) = (0.6, 0.2, 0.2)\), the predicted price for August is \[ \].
Using an **exponential smoothing model** with \(\alpha = 0.4\), and with the initial predicted price for Jan being the same as the observed price for January, the predicted price for August is \[ \].
Now, let’s suppose that we finally observe that the price for August is 30000. The **absolute percent error (APE)** of your prediction for August is \[ \]% using the weighted moving average method and \[ \]% using the exponential smoothing model.
**Note:** Round your answer to the nearest 2 decimal places. For your APE answer, for example, let’s say you get 0.06786 from Excel, then you should type in 6.79 as your answer here since it is represented as a percentage. Do not enter any symbols other than integers and decimal.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F28f9d8e8-4816-406d-add9-33350a131c98%2Febfd8f73-4312-47a1-8a3f-3d6d53db3318%2Fpqx4ya4_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Here’s a table with the average monthly price of a stock from Jan 2021 - July 2021.
| Month | Price |
|-------|-------|
| Jan | 29000 |
| Feb | 27000 |
| Mar | 31000 |
| Apr | 30000 |
| May | 32000 |
| June | 28000 |
| July | 29000 |
Using a **3-period weighted moving average** with weights \((w_t, w_{t-1}, w_{t-2}) = (0.6, 0.2, 0.2)\), the predicted price for August is \[ \].
Using an **exponential smoothing model** with \(\alpha = 0.4\), and with the initial predicted price for Jan being the same as the observed price for January, the predicted price for August is \[ \].
Now, let’s suppose that we finally observe that the price for August is 30000. The **absolute percent error (APE)** of your prediction for August is \[ \]% using the weighted moving average method and \[ \]% using the exponential smoothing model.
**Note:** Round your answer to the nearest 2 decimal places. For your APE answer, for example, let’s say you get 0.06786 from Excel, then you should type in 6.79 as your answer here since it is represented as a percentage. Do not enter any symbols other than integers and decimal.
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