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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 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

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

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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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