Suppose these data show the number of gallons of gasoline sold by a gasoline distributor in Bennington, Vermont, over the past 12 weeks. Week Sales (1,000s of gallons) 1 18 2 22 3 20 4 24 5 19 6 17 7 22 8 20 9 24 10 22 11 17 12 24 (a) Using a weight of  1 2 for the most recent observation,  1 3 for the second most recent observation, and  1 6 for third most recent observation, compute a three-week weighted moving average for the time series. (Round your answers to two decimal places.) Week Time Series Value Weighted Moving Average Forecast 1 18   2 22   3 20   4 24   5 19   6 17   7 22   8 20   9 24   10 22   11 17   12 24   (b) Compute the MSE for the weighted moving average in part (a). MSE =  Do you prefer this weighted moving average to the unweighted moving average? The MSE for the unweighted moving average is 10.91. The unweighted moving average is preferred because it has a larger MSE compared to the weighted moving average.The unweighted moving average is preferred because it has a smaller MSE compared to the weighted moving average.    The weighted moving average is preferred because it has a larger MSE compared to the unweighted moving average.The weighted moving average is preferred because it has a smaller MSE compared to the unweighted moving average. (c) Suppose you are allowed to choose any weights as long as they sum to 1. Could you always find a set of weights that would make the MSE at least as small for a weighted moving average than for an unweighted moving average? Why or why not? No, an unweighted moving average always has a smaller MSE than a weighted moving average.Yes, because an unweighted moving average is just a weighted moving average where the weights are equal.    No, sometimes you need to let the weights sum to a number higher/lower than 1 in order to get a smaller MSE than the one for an unweighted moving average.Yes, a weighted moving average always has a smaller MSE than an unweighted moving average.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 13PPS
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Suppose these data show the number of gallons of gasoline sold by a gasoline distributor in Bennington, Vermont, over the past 12 weeks.
Week Sales (1,000s
of gallons)
1 18
2 22
3 20
4 24
5 19
6 17
7 22
8 20
9 24
10 22
11 17
12 24
(a)
Using a weight of 
1
2
 for the most recent observation, 
1
3
 for the second most recent observation, and 
1
6
 for third most recent observation, compute a three-week weighted moving average for the time series. (Round your answers to two decimal places.)
Week Time Series
Value
Weighted Moving
Average Forecast
1 18  
2 22  
3 20  
4 24  
5 19  
6 17  
7 22  
8 20  
9 24  
10 22  
11 17  
12 24  
(b)
Compute the MSE for the weighted moving average in part (a).
MSE = 
Do you prefer this weighted moving average to the unweighted moving average? The MSE for the unweighted moving average is 10.91.
The unweighted moving average is preferred because it has a larger MSE compared to the weighted moving average.The unweighted moving average is preferred because it has a smaller MSE compared to the weighted moving average.    The weighted moving average is preferred because it has a larger MSE compared to the unweighted moving average.The weighted moving average is preferred because it has a smaller MSE compared to the unweighted moving average.
(c)
Suppose you are allowed to choose any weights as long as they sum to 1. Could you always find a set of weights that would make the MSE at least as small for a weighted moving average than for an unweighted moving average? Why or why not?
No, an unweighted moving average always has a smaller MSE than a weighted moving average.Yes, because an unweighted moving average is just a weighted moving average where the weights are equal.    No, sometimes you need to let the weights sum to a number higher/lower than 1 in order to get a smaller MSE than the one for an unweighted moving average.Yes, a weighted moving average always has a smaller MSE than an unweighted moving average.
 
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