Question

The following table shows a company's annual revenue (in billions of dollars) for 2009 to 2014....

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 29.3
2011 3 37.8
2012 4 50.2
2013 5 59.8
2014 6 66.6

(a)

Construct a time series plot.

  

What type of pattern exists in the data?

The time series plot shows an upward linear trend.

The time series plot shows a downward curvilinear trend.   

  The time series plot shows an upward curvilinear trend.

The time series plot shows a downward 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.)

Tt =

  

(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 estimate of this company's revenue (in billions of dollars) for 2015. (Round your answer to two decimal places.)

$   billion

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
The following table shows a company's annual revenue (in billions of dollars) for 2009 to 2014....
The following table shows a company's annual revenue (in billions of dollars) for 2009 to 2014. Year Period (t) Revenue ($ billions) 2009 1 23.7 2010 2 29.3 2011 3 38.0 2012 4 50.2 2013 5 59.7 2014 6 66.7 (a) Develop a linear trend equation for this time series to forecast revenue (in billions of dollars). (Round your numerical values to three decimal places.) Tt = (b)What is the average revenue increase per year (in billions of dollars) that...
The following table shows a company's annual revenue (in billions of dollars) for 2009 to 2014....
The following table shows a company's annual revenue (in billions of dollars) for 2009 to 2014. Year Period (t) Revenue ($ billions) 2009 1 23.8 2010 2 29.4 2011 3 37.9 2012 4 50.3 2013 5 59.9 2014 6 66.6 (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.) Tt = 12.56+9.154t    (c) What is the average revenue increase per year (in billions...
The general fund budget (in billions of dollars) for a U.S. state for 1988 (period 1)...
The general fund budget (in billions of dollars) for a U.S. state for 1988 (period 1) to 2011 (period 24) follows. Year Period Budget ($ billions) 1988 1 3.03 1989 2 3.29 1990 3 3.56 1991 4 4.41 1992 5 4.36 1993 6 4.61 1994 7 4.75 1995 8 5.15 1996 9 5.34 1997 10 5.66 1998 11 6.01 1999 12 6.20 2000 13 6.58 2001 14 6.75 2002 15 6.56 2003 16 6.88 2004 17 6.98 2005 18 7.65...
The following table shows retail sales in drug stores in billions of dollars in the U.S....
The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year Retail Sales 0 85.851 3 108.426 6 141.781 9 169.256 12 202.297 15 222.266 Let S(t)S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is F(t)=9.44t+84.182F(t)=9.44t+84.182. 36912158090100110120130140150160170180190200210220 Use the above scatter plot to decide whether the linear model fits the data well. The function is a good model...
JetBlue Airlines Revenue, 2008–2015 (millions) Year Revenue Year Revenue 2008 3,388 2012 4,982 2009 3,286 2013...
JetBlue Airlines Revenue, 2008–2015 (millions) Year Revenue Year Revenue 2008 3,388 2012 4,982 2009 3,286 2013 5,441 2010 3,779 2014 5,817 2011 4,504 2015 6,416 (a) Use Excel, MegaStat, or MINITAB to fit both a linear and an exponential trend to the time series. (Round your answers to 2 decimal places.) Linear yt =  t + Exponential yt =  e  t (b) Make annual forecasts for 2016–2018, using the linear and exponential trend models. (Do not round the intermediate calculations. Round your final...
JetBlue Airlines Revenue, 2008–2015 (millions) Year Revenue Year Revenue 2008 3,388 2012 4,982 2009 3,286 2013...
JetBlue Airlines Revenue, 2008–2015 (millions) Year Revenue Year Revenue 2008 3,388 2012 4,982 2009 3,286 2013 5,441 2010 3,779 2014 5,817 2011 4,504 2015 6,416 Click here for the Excel Data File (a) Use Excel, MegaStat, or MINITAB to fit both a linear and an exponential trend to the time series. (Round your answers to 2 decimal places.) Linear yt =  t + Exponential yt =  e  t (b) Make annual forecasts for 2016–2018, using the linear and exponential trend models. (Do not...
The table below shows national income and imports in billions of dollars. Assume that the level...
The table below shows national income and imports in billions of dollars. Assume that the level of export is $300 billion. National Income (Y) Imports (IM) Net Exports (X – IM) 100   85 200 120 300 155 400 190 500 225 600 260 700 295 800 330 Compare the level of net export for each level of national income and fill in the table. Plot the net export function on a scale diagram and explain why is it downward sloping....
The following time series shows the sales of a particular product over the past 12 months....
The following time series shows the sales of a particular product over the past 12 months. If required, round your answer to two decimal places. Click on the datafile logo to reference the data. Month Sales Month Sales 1 105 7 145 2 135 8 140 3 120 9 100 4 105 10 80 5 90 11 100 6 120 12 110 (a) Choose the correct time series plot. (i) (ii) (iii) (iv) - Select your answer -Plot (i)Plot (ii)Plot...
The following table shows data for the cost of natural gas in Maryland (in dollars per...
The following table shows data for the cost of natural gas in Maryland (in dollars per thousand cubic feet) for each month of the year 2018. Month   Price in $ per Million Btu 1 8.38 2 7.99 3 7.73 4 8.20 5 8.73 6 8.99 7 9.25 8 9.30 9 10.65 10 8.19 11 8.69 12 9.69 Define the explanatory and response variables for this problem. Use the calculator to obtain the linear regression line of best fit line; round...
Consider the following monthly revenue data for an up-and-coming service company. Sales Data Month Revenue (Thousands...
Consider the following monthly revenue data for an up-and-coming service company. Sales Data Month Revenue (Thousands of Dollars) Month Revenue (Thousands of Dollars) 11 315315 1010 819819 22 535535 1111 827827 33 533533 1212 843843 44 574574 1313 855855 55 628628 1414 849849 66 659659 1515 858858 77 697697 1616 870870 88 709709 1717 889889 99 789789 The summary output from a regression analysis of the data is also provided. Regression Statistics Multiple R 0.9309852070.930985207 R Square 0.8667334560.866733456 Adjusted R...