he general fund revenue receipts for a particular U.S. state for 2003 (period 1)General Fund($ billions)Year Period2003 12004888888888012015General Fund RevenueReceipts ($ billions)21098702PeriodWhat type of pattern exists in the dataThe time series plot shows. horizontal patternO The time series plot shows a nonlinear trend.O The time series plot shows a seasThe time series plot shows a linear trend.(b) Develop a linear trend equation.General Fund RevenueReceipts ($ billions)NEO(c) What is the forecast (in billions of dollars) for period: (Round your answer to threesbillionⒸGeneral Fund RevenueReceipts ($billions)==NHOPeriodNIORBTINIOBERGeneral Fund RevenueReceipts ($ billions)e

Here we have to construct time series plot. we will use excel Enter the data in excel -> Insert…

Answered: Suppose the general fund revenue…

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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Consider the following time series data. Week 1 2 3 4 5 6 Value 19 11 16 10 17 12 (a) Construct a time series plot. 201 20 20 18 18- 18 18 16 16 14 2 2 4 6 7 1 2 4 6 7 2 4 5 6 2 4 6 Week Week Week Week What type of pattern exists in the data? The data appear to follow a horizontal pattern. The data appear to follow a seasonal pattern. O The data appear to follow a cyclical pattern. O The data appear to follow a trend pattern. (b) Develop the three-week moving average forecasts for this time series. (Round your answers to two decimal places.) Time Series Value Week Forecast 1 19 11 3 16 4 10 28.44 17 21.78 6 12 5.44 Compute MSE. (Round your answer to two decimal places.) MSE = 18.56 What is the forecast for week 7? 13
The following table shows a company's annual revenue (in billions of dollars) for 2009 to 2014. Year Period (t) Revenue ($ billions) 2009 1 23.6 2010 2 29.2 2011 3 38.0 2012 4 50.1 2013 5 59.8 2014 6 66.6 (a) Construct a time series plot. 80 80 80 80 70 70 70 70 60 60 60 50 50- 50- 40 40 40- 30 30 30 20 20 20 10 10- 10 10- 1. 2 4 5 7 2 3 4 7 1 2 3 7 1 3 4 7 Period Period Period Period What type of pattern exists in the data? O The time series plot shows a downward linear trend. O The time series plot shows a downward curvilinear trend. O The time series plot shows an upward linear trend. O The time series plot shows an upward curvilinear trend. (b) Develop a linear trend equation for this time series to forecast revenue (in billions of dollars). (Round your numerical values to three decimal places.) T = (c) What is the average revenue increase per year (in billions of dollars) that this company has been realizing? (Round your answer to three decimal places.) $ billion (d) Compute an…
A consumer index is listed for years 2008 to 2015 in the table below. Complete parts (a) through (d) Year 2011 2014 2015 2008 87 2009 2010 57 Index 40 64 84 106 (a) Plot the data with x=8 corresponding to the year 2008 on on OA con AY 120 70- 20- 10 13 89 2 B. AY 120- 70- 20- 2012 63 9669 10 13 2013 57 16 Q Q 23 Ay 120 70- 20 T 10 (b) Use quartic regression to find a fourth-order polynomial function f(x) that models these data *(x)= x¹ + x² + (Round to three decimal places as needed) x²+x+O (+ 13 23 D. Ay 120- ++++|||| 70- ||||||| Hot |||||| |||||| 600. 10 13 o OU
A statistical program is recommended. Suppose the following data shows a company's annual revenue from 2008 (period 1) to 2017 (period 10) in billions of dollars. ● Year Period 2008 2009 2010 T₂= 2011 2012 2013 2014 2015 2016 2017 120 100 80- 60 40 20 1 0 2 3 3 4 (a) Construct a time-series plot. 5 6 7 9 10 Annual Revenue ($ billions) $22.80 $24.65 $28.32 $37.91 $50.18 $54.50 $66.00 $73.99 $90.27 $110.86 01 1 2 3 4 5 6 7 8 9 10 11 Period What type of pattern exists? O The time series plot shows a horizontal pattern. O The time series plot indicates a linear pattern. O The time series plot shows a cyclical pattern. The time series plot indicates curvature in the data. 0 120 100 80+ 60 40 20- 0 0 1 2 3 5 6 7 8 9 10 11 Period 45 (b) Develop a quadratic trend equation. (Round your numerical values to four decimal places.) 120T 100 80 60 40 20+ 0 01 1 2 3 4 5 6 7 8 9 10 11 Period ✔ 120 100 80 60 40- 20+ 0 0 1 2 3 4 5 6 7 8 9 10 11 Period 0
Consider the following time series data. Week 1 2 3 4 S 9 Value 18 11 14 10 16 13 (a) Construct a time series plot. What type of pattern exists in the data? ◇ The data appear to follow a cyclical pattern. O The data appear to follow a trend pattern. The data appear to follow a seasonal pattern. ◇ The data appear to follow a horizontal pattern. (b) Develop the three-week moving average for this time series. (Round your answers to two decimal places.) Week Time Series Value Forecast 1 18 2 11 3 14 4 10 5 16 6 13 Compute MSE. (Round your answer to two decimal places.) MSE= What is the forecast for week 7?
The quarterly sales data (number of copies sold) for Moraga Bookstore over the past three years follow. Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 1 16 25 22 15 2 19 31 25 18 3 21 33 27 17 Construct a time-series plot. What type of pattern(s) exists in the data? Compute the seasonal index for the four quarters. ]Compute the linear trend equation for the deseasonalized data.
Centerville Bikes and Stuff (CBS) sells motorcycles and accessories. The number of helmets sold by CBS per week for the past six weeks follows. Week 1 2 3 4 5 6 Value 17 12 14 10 16 13 (a) Construct a time series plot. A graph has a horizontal axis labeled "Week" with values from 0 to 7 and a vertical axis labeled "Time Series Value" with values from 0 to 20. The time series plot contains a series of 6 points connected by line segments. The segments and the approximate points they connect are as follows. The segments start at (1, 17), go down and right to (2, 12), go up and right to (3, 14), go down and right to (4, 10), go up and right to (5, 16), and go down and right to stop at (6, 13). A graph has a horizontal axis labeled "Week" with values from 0 to 7 and a vertical axis labeled "Time Series Value" with values from 0 to 20. The time series plot contains a series of 6 points connected by line segments. The segments and the approximate points they connect…
(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 = 2.8450+ - 0.0124 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.) $34.1 billion
A statistical program is recommended. Annual retail store revenue for a technology company from 2007 to 2017 are shown below. Year Period 2007 Retail Store Revenue ($ 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…
The following table shows a company's annual revenue (in billions of dollars) for 2009 to 2014. Year Period (t) Revenue ($ billions) 2009 23.6 2010 29.3 2011 37.9 2012 4 50.2 2013 59.9 2014 6 66.7 (a) Construct a time series plot. 80- 80 80 80 70 70 70 70 60 60 60 60 50 50 50 50 40 40 40 40 30 30- 30 30 20- 20 20 20 10 10 10- 10 1 2 3 4 5 6 7 0- 1 2 3 4 5 7 1 3 4 5 6 7 1 3 4 5 6 7 Period Period Period Period What type of pattern exists in the data? O The time series plot shows a downward linear trend. O The time series plot shows an upward linear trend. O The time series plot shows an upward curvilinear trend. O The time series plot shows a downward curvilinear trend. (b) Develop a linear trend equation for this time series to forecast revenue (in billions of dollars). (Round your numerical values to three decimal places.) T. = -18323.211 +9.131lt (c) What is the average revenue increase per year (in billions of dollars) that this company has been realizing? (Round your answer to three…
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…
The following table shows a company's annual revenue (in billions of dollars) for 2009 to 2014. Year Period (t) Revenue ($ billions) 2009 23.8 2010 2 29.3 2011 3 38.0 2012 4 50.2 2013 59.8 2014 66.8 (a) Construct a time series plot. 80 T 80- 80- 80 T 70 70 70 70 60 60 60- 60 50 50- 50 0- 50- 40 40- 40 40 30 30 30 30 20 20 20 20 10 10 10 10- 0- 0- 1 3 4 5 6. 7. 1 2 3 4 5 6 7 0 1 2 3 4 6. 7 0 1 3 4 7 Period Period Period Perjod What type of pattern exists in the data? The time series plot shows a downward curvilinear trend. O The time series plot shows a downward linear trend. O The time series plot shows an upward curvilinear trend. O The time series plot shows an upward linear trend. (b) Develop a linear trend equation for this time series to forecast revenue (in billions of dollars). (Round your numerical values to three decimal places.) T: = (c) What is the average revenue increase per year (in billions of dollars) that this company has been realizing? (Round your answer to three…

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