Passengers (thousands) 150000 145000 140000 135000 130000 125000 120000 115000 110000 Time Series plot of quarterly light rail usage (first quarter 2015 through third quarter 2024) wwww 0 8 12 16 20 Time (Quarters) 24 28 32 36 40 40 Year Quarter t y(t) 2015 1 1 110569 2 2 113433 3 3 118183 4 4 114932 2016 1 5 112337 2 6 117224 3 7 118863 4 8 116554 2017 1 9 116287 2 10 124077 3 11 126540 4 12 123559 2018 1 13 122607.4 2 14 129549.7 3 15 128105.9 4 16 126818.9 2019 1 17 123020.3 2 18 130158.9 3 19 133584.3 4 20 132147.9 2020 1 21 126932.4 2 22 123051.92] 3 23 134041.56 4 24 135031.20 2021 1 25 130020.840 2 26 128010.480 3 27 138000.12 4 28 139989.76 2022 1 29 140979.40! 2 30 135969.04 3 31 130958.68! 4 32 142948.32! 2023 1 33 144321.12! 2 34 139782.059 3 35 135372.74 4 36 147611.86 2024 123 37 149334.83 38 145124.004 39 141022.359

Survey of Accounting (Accounting I)
8th Edition
ISBN:9781305961883
Author:Carl Warren
Publisher:Carl Warren
Chapter13: Budgeting And Standard Costs
Section: Chapter Questions
Problem 13.6.2MBA
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Question

Figure 1 below displays the quarterly number of U.S. passengers (in thousands) using light rail as a mode of transportation. The series begins in the first quarter of 2015 and ends with the third quarter of 2024. 

We can see a regularity to the series: the first quarter’s ridership tends to be lowest; then there is a progressive rise in ridership going into the second and third quarters, followed by a decline in the fourth quarter. Superimposed on the series are the moving-average forecasts based on a span of k = 4. 

Notice that the seasonal pattern in the time series is not present in the moving averages. The moving averages are a smoothed-out version of the original time series, reflecting only the general trend in the series, which is upward.

Question:

1. Compute a forecast that the series ended in the third quarter of 2024 with t=39. This means that the next period in the future is the fourth quarter of 2024 with t=40.  

= [a + b (t)] × SR =?

where SR is the seasonality ratio for the appropriate quarter corresponding to the value of t.  

Passengers (thousands)
150000
145000
140000
135000
130000
125000
120000
115000
110000
Time Series plot of quarterly light rail usage
(first quarter 2015 through third quarter 2024)
wwww
0
8
12
16
20
Time (Quarters)
24
28
32
36
40
40
Transcribed Image Text:Passengers (thousands) 150000 145000 140000 135000 130000 125000 120000 115000 110000 Time Series plot of quarterly light rail usage (first quarter 2015 through third quarter 2024) wwww 0 8 12 16 20 Time (Quarters) 24 28 32 36 40 40
Year
Quarter
t
y(t)
2015
1
1
110569
2
2
113433
3
3
118183
4
4
114932
2016
1
5
112337
2
6
117224
3
7
118863
4
8
116554
2017
1
9
116287
2
10
124077
3
11
126540
4
12
123559
2018
1
13
122607.4
2
14
129549.7
3
15
128105.9
4
16 126818.9
2019
1
17
123020.3
2
18
130158.9
3
19 133584.3
4
20
132147.9
2020
1
21 126932.4
2
22 123051.92]
3
23 134041.56
4
24 135031.20
2021
1
25 130020.840
2
26 128010.480
3
27 138000.12
4
28 139989.76
2022
1
29 140979.40!
2
30 135969.04
3
31 130958.68!
4
32 142948.32!
2023
1
33 144321.12!
2
34 139782.059
3
35 135372.74
4
36 147611.86
2024
123
37 149334.83
38 145124.004
39 141022.359
Transcribed Image Text:Year Quarter t y(t) 2015 1 1 110569 2 2 113433 3 3 118183 4 4 114932 2016 1 5 112337 2 6 117224 3 7 118863 4 8 116554 2017 1 9 116287 2 10 124077 3 11 126540 4 12 123559 2018 1 13 122607.4 2 14 129549.7 3 15 128105.9 4 16 126818.9 2019 1 17 123020.3 2 18 130158.9 3 19 133584.3 4 20 132147.9 2020 1 21 126932.4 2 22 123051.92] 3 23 134041.56 4 24 135031.20 2021 1 25 130020.840 2 26 128010.480 3 27 138000.12 4 28 139989.76 2022 1 29 140979.40! 2 30 135969.04 3 31 130958.68! 4 32 142948.32! 2023 1 33 144321.12! 2 34 139782.059 3 35 135372.74 4 36 147611.86 2024 123 37 149334.83 38 145124.004 39 141022.359
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