Table rates but must The local unity company offers an interrup ption at 12:00 noon Thursday. To assess the savings, the utility must estimate the company's usage without the interrupt. The period of interrupted service was from noon to 8:00 p.m. Data on Time Period Monday 12-4 a.m. 4-8 a.m. 8-12 noon Tuesday 19,291 33,195 99,526 12-4 p.m. 4-8 p.m. 8-12 midnight 41,310 48,122 37,014 119,968 124,299 123,666 156,033 113,555 111,717 128,889 73,933 Wednesday 31,209 Time Period there a seasonal effect over the 24-hour period? O No, the time series plot indicates a linear trend with no seasonal effect. Thursday 27,340 32,725 152,465 O Yes, the time series plot indicates a seasonal effect with a possible linear trend. O No, the time series plot indicates a curvilinear trend with no seasonal effect. O No, the time series plot indicates a horizontal pattern. Seasonal Index ompute seasonal indexes for the six 4-hour periods. (Round your answers to four decimal places.) Adjusted Seasonal Index
Table rates but must The local unity company offers an interrup ption at 12:00 noon Thursday. To assess the savings, the utility must estimate the company's usage without the interrupt. The period of interrupted service was from noon to 8:00 p.m. Data on Time Period Monday 12-4 a.m. 4-8 a.m. 8-12 noon Tuesday 19,291 33,195 99,526 12-4 p.m. 4-8 p.m. 8-12 midnight 41,310 48,122 37,014 119,968 124,299 123,666 156,033 113,555 111,717 128,889 73,933 Wednesday 31,209 Time Period there a seasonal effect over the 24-hour period? O No, the time series plot indicates a linear trend with no seasonal effect. Thursday 27,340 32,725 152,465 O Yes, the time series plot indicates a seasonal effect with a possible linear trend. O No, the time series plot indicates a curvilinear trend with no seasonal effect. O No, the time series plot indicates a horizontal pattern. Seasonal Index ompute seasonal indexes for the six 4-hour periods. (Round your answers to four decimal places.) Adjusted Seasonal Index
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

Transcribed Image Text:A statistical program is recommended.
Electric power consumption is measured in kilowatt-hours (kWh). The local utility company offers an interrupt program whereby commercial customers that participate receive favorable rates but must agree to cut back consumption if the utility requests them to do so. A certain company cuts back
consumption at 12:00 noon Thursday. To assess the savings, the utility must estimate the company's usage without the interrupt. The period of interrupted service was from noon to 8:00 p.m. Data on electric power consumption for the previous 72 hours are available.
Time Period
12-4 a.m.
4-8 a.m.
(b) Compute
8-12 noon
12-4 p.m.
4-8 p.m.
8-12 midnight 41,310
Time Period
12-4 a.m.
4-8 a.m.
8-12 noon
Monday
12-4 p.m.
4-8 p.m.
8-12 midnight
124,299 123,666
113,555 111,717
Seasonal
Index
0.3262
0.4484
1.3647
Tuesday
1.6992
(a) Is there a seasonal effect over the 24-hour period?
O No, the time series plot indicates a linear trend with no seasonal effect.
O Yes, the time series plot indicates a seasonal effect with a possible linear trend.
O No, the time series plot indicates a curvilinear trend with no seasonal effect.
O No, the time series plot indicates a horizontal pattern.
1.4606
0.7122
19,291
X
33,195
sonal indexes the 4-hour periods. (Round your answers to
Adjusted
Seasonal
Index
X
99,526
X
48,122
0.3256
0.4476
1.3621
1.6959
Wednesday
1.4579
31,209
x 0.7109
37,014
119,968
156,033
128,889
73.933
x
X
✔
Thursday
27,340
✔
32,725
x
152,465
cimal places.)
(c) Use trend adjusted for seasonal indexes to estimate the company's normal usage (in kWh) over the period of interrupted service. (Round your answer to the nearest integer.)
312,841
x kWh
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