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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 30 25 20 1 35 30 25 20- 15- 10+ 5+ 0 2 3 4 5 012 6 7 8 9 10 11 (a) Construct a time series plot. Retail Store Revenue ($ billions) 3.915 6.110 6.777 9.280 14.327 19.028 20.428 21.662 28.309 26.998 30.703 سمیہ MM 5 0 0 1 2 3 4 5 6 7 8 9 10 11 12 Period 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 cyclical pattern. O The time series plot shows a horizontal pattern. The time series plot shows a downward trend. O The time series plot shows an upward trend. O O 25 20 15 10- 5- 35 30 25 20 15 10 5 0 1 2 3 4 5 6 7 8 9 10 11 12 Period AM 0 1 2 3 4 5 6 7 8 9 10 11 12 Period Q n (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.) T= 0.0214+2.8450 x (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.) $34.1 ✓ billion

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 30 25 20 1 35 30 25 20- 15- 10+ 5+ 0 2 3 4 5 012 6 7 8 9 10 11 (a) Construct a time series plot. Retail Store Revenue ($ billions) 3.915 6.110 6.777 9.280 14.327 19.028 20.428 21.662 28.309 26.998 30.703 سمیہ MM 5 0 0 1 2 3 4 5 6 7 8 9 10 11 12 Period 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 cyclical pattern. O The time series plot shows a horizontal pattern. The time series plot shows a downward trend. O The time series plot shows an upward trend. O O 25 20 15 10- 5- 35 30 25 20 15 10 5 0 1 2 3 4 5 6 7 8 9 10 11 12 Period AM 0 1 2 3 4 5 6 7 8 9 10 11 12 Period Q n (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.) T= 0.0214+2.8450 x (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.) $34.1 ✓ billion

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Annual retail store revenue for a technology company from 2007 to 2017 are shown below. Year Period Retail Store Revenue ($ billions) 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 25 1 10 5+ 0 2 35 30 25 20 15 10 3 4 5 6 7 8 9 (a) Construct a time series plot. 10 11 Retail Store Revenue ($ billions) 0 1 2 3 3 3.915 4 4 5 6.110 5- 0- 0 1 2 3 4 5 6 6.777 9.280 14.327 19.028 20.428 21.662 и VM 28.309 26.998 30.703 5 6 7 8 9 10 11 12 Period 5 6 7 8 9 10 11 12 Period What type of pattern exists in the data? O The time series plot shows a cyclical pattern. O The time series plot shows a horizontal pattern. The time series plot shows a downward trend. The time series plot shows an upward trend. Q Retail Store Revenue ($ billions) 25 20 15- 10 5- 0 0 1 2 3 4 5 6 7 Period 35 30 25 20 M 5 0 0 1 2 3 4 5 6 7 8 9 10 11 12 Period 8 9 10 11 12 15 10 ↑ n (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.) T, = 0.0214+ 2.84501 x (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.) $34.1 ✓ billion
Transcribed Image Text:Annual retail store revenue for a technology company from 2007 to 2017 are shown below. Year Period Retail Store Revenue ($ billions) 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 25 1 10 5+ 0 2 35 30 25 20 15 10 3 4 5 6 7 8 9 (a) Construct a time series plot. 10 11 Retail Store Revenue ($ billions) 0 1 2 3 3 3.915 4 4 5 6.110 5- 0- 0 1 2 3 4 5 6 6.777 9.280 14.327 19.028 20.428 21.662 и VM 28.309 26.998 30.703 5 6 7 8 9 10 11 12 Period 5 6 7 8 9 10 11 12 Period What type of pattern exists in the data? O The time series plot shows a cyclical pattern. O The time series plot shows a horizontal pattern. The time series plot shows a downward trend. The time series plot shows an upward trend. Q Retail Store Revenue ($ billions) 25 20 15- 10 5- 0 0 1 2 3 4 5 6 7 Period 35 30 25 20 M 5 0 0 1 2 3 4 5 6 7 8 9 10 11 12 Period 8 9 10 11 12 15 10 ↑ n (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.) T, = 0.0214+ 2.84501 x (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.) $34.1 ✓ billion
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A statistical program is recommended. Annual retail store revenue for a technology company from 2007 to 2017 are shown below. Year Period 2007 Retail Store Revenue ($ billions) 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 35 30 25 20 15 10 35 30 25 20 15 10 5- 0- 1 (a) Construct a time series plot. + 2 3 4 0 1 2 5 6 7 8 9 10 11 Retail Store Revenue ($ billions) 30 25 20 WML 15 10 0 1 2 3 4 5 6 7 8 9 10 11 12 Period 3.915 3 4 6.110 6.777 9.280 14.327 19.028 20.428 21.662 28.309 26.998 30.703 5 6 Period 7 8 9 10 11 12 What type of pattern exists in the data? The time series plot shows a cyclical pattern. The time series plot shows a horizontal pattern. O The time series plot shows a downward trend. The time series plot shows an upward trend. o Retail Store Revenue ($ billions) 35 35 30 25 20 15 10 0 1 2 3 4 5 6 7 8 9 10 11 12 Period VV 5- 0- 0 1 2 3 4 5 6 7 8 9 10 11 12 Period A (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.) T₁ = -0.0123 +2.8450 x (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.) $34.1 ✔ billion
Transcribed Image Text:A statistical program is recommended. Annual retail store revenue for a technology company from 2007 to 2017 are shown below. Year Period 2007 Retail Store Revenue ($ billions) 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 35 30 25 20 15 10 35 30 25 20 15 10 5- 0- 1 (a) Construct a time series plot. + 2 3 4 0 1 2 5 6 7 8 9 10 11 Retail Store Revenue ($ billions) 30 25 20 WML 15 10 0 1 2 3 4 5 6 7 8 9 10 11 12 Period 3.915 3 4 6.110 6.777 9.280 14.327 19.028 20.428 21.662 28.309 26.998 30.703 5 6 Period 7 8 9 10 11 12 What type of pattern exists in the data? The time series plot shows a cyclical pattern. The time series plot shows a horizontal pattern. O The time series plot shows a downward trend. The time series plot shows an upward trend. o Retail Store Revenue ($ billions) 35 35 30 25 20 15 10 0 1 2 3 4 5 6 7 8 9 10 11 12 Period VV 5- 0- 0 1 2 3 4 5 6 7 8 9 10 11 12 Period A (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.) T₁ = -0.0123 +2.8450 x (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.) $34.1 ✔ billion
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