Period Demand forecast Weights Weighted Moving average Exponential Smoothing forecast X2 xy 1 1600             2 2200             3 2000             4 1600             5 2500             6 3500             7 3300             8 3200             9 3900             10 4700             11 4300             12 4400             13                                      a. Calculate the forecast for the data using a four-year moving average.    b. Use the data to calculate the forecast for period 5 using a four-period weighted average moving average. The weights of .4,  .3,.2, and .1 are assigned to the most recent, second most recent, third most recent and the fourth most recent respectively.    c. Based on the data, calculate the forecast from period three using the exponential smoothing method. Assume the forecast for period two is 1600 and    d. Use the data to estimate the linear trend forecast using the simple linear regression to calculate the trend line and the forecast for period 13 OR estimate the regression equation for period 13.       NOTE!!! In this question, you are required to show all your calculations for each of the trend lines to enable you estimate or forecast the demand for period 13.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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TABLE:3

Period

Demand

forecast

Weights

Weighted

Moving average

Exponential

Smoothing

forecast

X2

xy

1

1600

 

 

 

 

 

 

2

2200

 

 

 

 

 

 

3

2000

 

 

 

 

 

 

4

1600

 

 

 

 

 

 

5

2500

 

 

 

 

 

 

6

3500

 

 

 

 

 

 

7

3300

 

 

 

 

 

 

8

3200

 

 

 

 

 

 

9

3900

 

 

 

 

 

 

10

4700

 

 

 

 

 

 

11

4300

 

 

 

 

 

 

12

4400

 

 

 

 

 

 

13

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

     a. Calculate the forecast for the data using a four-year moving average.

   b. Use the data to calculate the forecast for period 5 using a four-period weighted average moving average. The weights of .4,  .3,.2, and .1 are assigned to the most recent, second most recent, third most recent and the fourth most recent respectively.

   c. Based on the data, calculate the forecast from period three using the exponential smoothing method. Assume the forecast for period two is 1600 and

   d. Use the data to estimate the linear trend forecast using the simple linear regression to calculate the trend line and the forecast for period 13 OR estimate the regression equation for period 13.       NOTE!!! In this question, you are required to show all your calculations for each of the trend lines to enable you estimate or forecast the demand for period 13.

 

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