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 37.8 2012 50.3 2013 59.7 2014 66.7 (a) Construct a time series plot. 80 80 80 80 70 70 70 70 60 50 40 30 60 60 60 50 50 40 30 40 30 30 20 20 20 20 10 10 10 10 1 3 4 6. 3. 3 4 6. 2 3 Period Period Period Period What type of pattern exists in the data? O The time series plot shows an upward curvilinear trend. 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. (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 estimate of this company's revenue (in billions of dollars) for 2015. (Round your answer to two decimal places.) billion Revenue ($ billions) Revenue ($ billions) Revenue ($ billions) Revenue ($ billions)

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 37.8 2012 50.3 2013 59.7 2014 66.7 (a) Construct a time series plot. 80 80 80 80 70 70 70 70 60 50 40 30 60 60 60 50 50 40 30 40 30 30 20 20 20 20 10 10 10 10 1 3 4 6. 3. 3 4 6. 2 3 Period Period Period Period What type of pattern exists in the data? O The time series plot shows an upward curvilinear trend. 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. (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 estimate of this company's revenue (in billions of dollars) for 2015. (Round your answer to two decimal places.) billion Revenue ($ billions) Revenue ($ billions) Revenue ($ billions) Revenue ($ billions)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

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
Changes in the earth's rotation are exceedingly small. However, a very long-term trend could be important. (Reference: Journal of Astronomy, Vol. 57, pp. 125-146.) Let I represent an increase and D a decrease in the rate of the earth's rotation. The following sequence represents historical increases and decreases measured every consecutive fifth year. D D D D D D I I D D D D D I I I I I I I I I I D I I I I I Test the sequence for randomness. Use ? = 0.05. (a) What is the level of significance? (b) Find the sample test statistic R, the number of runs. (c) Find the upper and lower critical values in the Critical Values for Number of Runs R table.
The values of Alabama building contracts (in millions of dollars) for a 12-month period follow. (a) Construct a time series plot. 400 350 300 250 200+ O 1 2 3 4 Month 5 6 What type of pattern exists in the data? 7 240 340 220 260 280 310 8 9 150- 100 The data appear to follow a seasonal pattern. The data appear to follow a cyclical pattern. The data appear to follow a trend pattern. O The data appear to follow a horizontal pattern. 10 50 0 11 12 01 2 400 350 300 250 200- 150 100 50 0 0 1 2 3 4 5 34 5 6 7 8 9 10 11 12 13 Month Time Series Value (in $ millions) 240 340 (b) Compare the three-month moving average forecast with the exponential smoothing forecast using a = 0.2. (Round your answers to two decimal places.) 220 260 280 310 210 320 250 6 320 7 Month 230 220 210 320 250 320 230 220 de 8 9 10 11 12 13 r 3-Month Moving Average Forecast (in $ millions) 400 350+ 300 250 200+ 150- 100+ 50+ 0 01010101000 400 T 350 300 0 1 2 3 4 250+ 200+ 150+ 100+ α = 0.2 Forecast (in $ millions) 50…
What year is the title of the grapth (image attached) most likely to be referring to when it says the future (Likelihood of industries becoming automated in the future")?
Respond to each of the items using the following time series data. Period Demand 1 104 2 132 3 117 4 120 5 104 6 141 7 120 8 136 9 109 10 143 11 142 12 109 13 113 14 124 15 113 16 107
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…
QUESTION Samuel is a butchery vendor at a local open market. His daily income and the number of hours worked for the first ten days after the lockdown period is shown below: Day Income (N$) Number of hours 1 800 6 2 900 8 3 600 4 4 1200 5 5 1400 9 6 2000 9 7 1400 8 8 900 6 9 1300 7 10 1400 8 REQUIRED TO; determine whether it is the data time series or cross sectional? Motivate the reason. Calculate and interpret the following descriptive measures for the random variable Income: Mean Median Mode 33rd percentile Interquartile range 3. Calculate and interpret the covariance between the random variables Income and Number of hours worked. 4. Calculate and interpret the correlation coefficient between the random…
Consider the time series data in the table below (a-c all count as one problem) a. Construct a time series plot. What type of pattern exists in the data?b. Develop a three-week moving average for this time series. Compute MSEand a forecast for week 8. c. Use α = 0.2 to compute the exponential smoothing value for the time series.Compute MSE and a forecast for week 8.
The average amount of money spent by an Amazon customer per month is $1296 with standard deviation $110. Assume the variable is normally distributed. Answer the following questions. What is the probability that a random sample of 15 Amazon customers spent an average between $1100 and $1300 in a month?