A statistical program is recommended. Annual retail store revenue for a technology company from 2007 to 2017 are shown below. Year Period 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 35 1 30 2 0 3 4 5 6 7 8 9 10 (a) Construct a time series plot. 11 Retail Store Revenue ($ billions) 3.915 6.110 6.377 9.280 13.927 18.628 20.028 21.662 27.909 27.398 20 MEML 15- 10 5 0- 0 1 2 3 4 5 6 7 8 9 10 11 12 0 1 2 3 4 5 6 7 8 9 10 11 12 0° 30.303 0 1 2 3 4 5 6 7 8 9 10 11 12 Period What type of pattern exists in the data? O The time series plot shows a downward trend. O The time series plot shows a cyclical pattern. O The time series plot shows a horizontal pattern. The time series plot shows an upward trend. 30 25 20 15- 10 5- 0- Period Period (b) Using statistical software, develop a linear trend equation for this time series to forecast revenue (in $ billions). (Round your numerical values to four decimal places.) T₂= (c) Use the trend equation developed in part (b) to forecast retail store revenue (in $ billions) for 2018. (Round your answer to one decimal place.) $ billion 35 T @✓ 30 25 20 13 10- 0 0 1 2 3 4 5 6 7 8 9 10 11 12 Period

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A statistical program is recommended.
Annual retail store revenue for a technology company from 2007 to 2017 are shown below.
Year Period
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
1
2
3
4
5
6
7
8
9
10
11
Retail Store Revenue
($ billions)
(a) Construct a time series plot.
3.915
6.110
6.377
9.280
13.927
18.628
20.028
21.662
27.909
27.398
30.303
35
30
25
20
MLMK
W
5
0 1 2 3 4 5 6 7 8 9 10 11 12
0 1 2 3 4 5 6 7 8 9 10 11 12
0 1 2
1 2 3 4 5 6 7 8 9 10 11 12
Period
What type of pattern exists in the data?
O The time series plot shows a downward trend.
O The time series plot shows a cyclical pattern.
O The time series plot shows a horizontal pattern.
The time series plot shows an upward trend.
00
25
20
15
10
5
0-
Period
0°
O
Period
(b) Using statistical software, develop a linear trend equation for this time series to forecast revenue (in $ billions). (Round your numerical values to four decimal places.)
T₂ =
(c) Use the trend equation developed in part (b) to forecast retail store revenue (in $ billions) for 2018. (Round your answer to one decimal place.)
$
billion
✔
20
15-
10-
5-
0
0 1 2 3 4 5 6 7 8 9 10 11 12
Period
Transcribed Image Text:A statistical program is recommended. Annual retail store revenue for a technology company from 2007 to 2017 are shown below. Year Period 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 1 2 3 4 5 6 7 8 9 10 11 Retail Store Revenue ($ billions) (a) Construct a time series plot. 3.915 6.110 6.377 9.280 13.927 18.628 20.028 21.662 27.909 27.398 30.303 35 30 25 20 MLMK W 5 0 1 2 3 4 5 6 7 8 9 10 11 12 0 1 2 3 4 5 6 7 8 9 10 11 12 0 1 2 1 2 3 4 5 6 7 8 9 10 11 12 Period What type of pattern exists in the data? O The time series plot shows a downward trend. O The time series plot shows a cyclical pattern. O The time series plot shows a horizontal pattern. The time series plot shows an upward trend. 00 25 20 15 10 5 0- Period 0° O Period (b) Using statistical software, develop a linear trend equation for this time series to forecast revenue (in $ billions). (Round your numerical values to four decimal places.) T₂ = (c) Use the trend equation developed in part (b) to forecast retail store revenue (in $ billions) for 2018. (Round your answer to one decimal place.) $ billion ✔ 20 15- 10- 5- 0 0 1 2 3 4 5 6 7 8 9 10 11 12 Period
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