Refer again to the gasoline sales time series data in the following table. Sales (1000s of gallons) 18 24 19 24 17 16 22 19 24 21 16 22 Week 1 2 3 4 5 6 7 8 9 10 11 12 a. Using a weight of 1/2 for the most recent observation, 1/3 for the second most recent, and 1/6 for third most recent, compute a three-week weighted moving average for the time series. Use rounded for two decimal places values for intermed calculations. Use minus sign for negative values. Week 1 2 3 4 5 6 7 8 9 10 11 12 Sales 18 24 19 24 17 16 22 19 24 21 16 22 Weighted Moving Average Forecast Forecast Error Total 1 I I 1 (Error)2
Refer again to the gasoline sales time series data in the following table. Sales (1000s of gallons) 18 24 19 24 17 16 22 19 24 21 16 22 Week 1 2 3 4 5 6 7 8 9 10 11 12 a. Using a weight of 1/2 for the most recent observation, 1/3 for the second most recent, and 1/6 for third most recent, compute a three-week weighted moving average for the time series. Use rounded for two decimal places values for intermed calculations. Use minus sign for negative values. Week 1 2 3 4 5 6 7 8 9 10 11 12 Sales 18 24 19 24 17 16 22 19 24 21 16 22 Weighted Moving Average Forecast Forecast Error Total 1 I I 1 (Error)2
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Using a weight of 1/2 for the most recent observation, 1/3 for the second most recent, and 1/6 for third most recent, compute a three-week weighted moving average for the time series. Use rounded for two decimal places values for intermediate calculations. Use minus sign for negative values.

Transcribed Image Text:Refer again to the gasoline sales time series data in the following table.
Week
1
2
3
4
5
6
7
8
9
10
11
12
Week
1
2
3
5
6
7
8
9
10
11
12
Sales
18
24
19
24
17
a. Using a weight of 1/2 for the most recent observation, 1/3 for the second most recent, and 1/6 for third most recent, compute a three-week weighted moving average for the time series. Use rounded for two decimal places values for intermediate
calculations. Use minus sign for negative values.
16
22
19
24
21
16
Sales (1000s of gallons)
22
18
NA NANGN
24
19
24
17
16
22
19
24
21
16
22
Weighted Moving
Average Forecast
Forecast
Error
Total
(Error)²
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