Consider the following time series:Quarter Year 1 Year 2 Year 31696660244364636062554798273(a) Choose a time series plot.(i)100806040203.467Period(t)9101112(ii)100806040201 23.467Period (t)101112 Graph (ii)What type of pattern exists in the data? Is there an indication of a seasonal pattern?Horizontal pattern, with seasonality(b) Use a multiple linear regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qtri = 1 if quarter 1, 0 otherwise; Qtrz = 1 if quarter 2, 0 otherwise; Qtr3 = 1 if quarter 3, 0otherwise. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300)QtriO Otrz +O Qtr3(c) Compute the quarterly forecasts for next year.Year QuarterFt4144344

Answered: Image /qna-images/answer/a289b56a-8448-46d6-b1f6-217100511e11.jpg

Answered: Consider the following time series:…

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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The data for this problem are the air freight shipments (in ton-miles) each month (beginning in January for one year) in the U. S. for 10 years. The following is a time series plot of this data. What are the most important features of this plot? Ton-miles 3000- 2500- 2000- 1500- 1000- 1 Time Series Plot of Ton-miles ܚ ܪܘܐܐܐ ܘ ܚܐ ܀ 12 24 36 48 60 Index 72 84 96 108 120
Describe the three major categories of data (time-series, cross-sectional, and panel).
A statistical program is recommended. The number of users of a certain website (in millions) from 2004 through 2011 follows. Year Period Users (Millions) 2004 1 1 2005 2 7 2006 3 11 2007 4 57 2008 5 146 2009 6 359 2010 7 609 2011 8 845 (a) Construct a time series plot. A time series plot contains a series of 8 points connected by line segments. The horizontal axis ranges from 0 to 10 and is labeled: Period. The vertical axis ranges from 0 to 900 and is labeled: Millions of Users. The first point is at approximately (1, 850). The rest are plotted from left to right at regular increments of 1 period in a downward, diagonal direction that doesn't appear to become more or less steep as period increases. The last point is at approximately (8, 0). A time series plot contains a series of 8 points connected by line segments. The horizontal axis ranges from 0 to 10 and is labeled: Period. The vertical axis ranges from 0 to 900 and is labeled: Millions of Users.…
The elevation of a lake surface (feet above sea level) varies according to the annual flow of a river that feeds it. A geological survey provided the following data from equally spaced intervals of time over a 15 year period. Time Period Elevation 1 4817 2 4819 3 4824 4 4822 5 4826 6 4831 7 4836 8 4837 9 4839 10 4837 11 4832 12 4827 13 4823 14 4818 15 4817 Make a time-series graph displaying the data.
Table 7 shows the seasonal factors for a monthly time series: Table 7 Month Seasonal Month Factor January -358.1 May February -196.3 June March 12.5 July April 187.4 August Describe the seasonal variation in this time series. Seasonal Factor 487.2 276.1 -27.9 -124.6 Month September October November December Seasonal Factor -136.7 92.6 70.4 -282.6
Companies are devoting time and energy to promote recycling. A major recycling company found some old documents that present the recorded amount of cell phone collected over a span of eight years. Year Cellular Telephones Collected (in millions) 2009 2.2 2010 2.6 2011 2.9 2012 3.4 2013 3.1 2014 4.2 2015 4.9 2016 5.3 Part a) Develop a time series plot with Year on the X axis and Cellular Telephones Collected on the Y axis. Part b) Does there appear to be a relationship between time and cellular telephones collected?
For a certain company, the monthly percentages of all shipments received on time over the past 12 months are 80, 82, 85, 83, 82, 84, 85, 84, 82, 83, 84, and 83. (a) Construct a time series plot. 86 86- 86 86 85 85 85 85 84 84 84 84 83 83 83 83 82 82 82 81 81 81 81 80 80- 79 80- 80- 79 79 79- 78 78- 78 78- 77 0 1 2 3 4 56 7 8 9 10 11 12 13 77 77 + 77 0 1 2 3 4 5 67 8 9 10 11 12 13 01234 56 7 8 9 10 11 12 13 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Month Month Month Month What type of pattem exists in the data? O The last two points may be an indication of a shift to a new level, but overall the time series plot exhibits a horizontal pattern. O The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a horizontal pattern. O Overall, the time series plot exhibits a consistent trend pattern. O The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a cyclical pattern. O The first two points…
Please draw a time series graph for the information displayed,‘s thank you!!
For a certain company, the monthly percentages of all shipments recelved on time over the past 12 months are 80, 82, 85, 83, 82, 84, 85, 84, 82, 83, 84, and 83. (a) Construct a time series plot. 86 86 86 86 85 85 85 84 84 84 83 82 82 81 80- 79 79 79 78 78 78 78 77 + 77 77 77 0 1 2 3 4 5 6 78 9 10 11 12 13 0 1 2 3 4 3 6 7 8 9 10 11 12 13 0 1 2 3 4 5 6 7 8 9 10 11 12 13 0 1 2 3 456 7 8 9 10 11 12 13 Month Month Month Month What type of pattern exists in the data? O The last two points may be an indication of a shift to a new level, but overall the time series plot exhibits a horizontal pattern. O The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a horizontal pattern. O Overall, the time series plot exhibits a consistent trend pattern. O The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a cyclical pattern. O The first two points may be an indication of a shift to a new…
Find the MSE in part (b) please.
For each of the below ACF plots which are obtained for a time series data of 4 different variables of interest: a) Explain the ACF plot. b) Describe what the raw data is likely to look like over time. c) What kind of variable is this plot likely to characterise (e.g., stock prices, exchange rates, temperature, etc.)?
Consider the following time series data. Month 1 2 3 4 5 6 7 Value 25 14 21 13 20 24 16 (a) Construct a time series plot. -A time series plot contains a series of 7 points connected by line segments. The horizontal axis ranges from 0 to 8 and is labeled: Month. The vertical axis ranges from 0 to 30 and is labeled: Time Series Value. The points are plotted from left to right at regular increments of 1 month starting at month 1. The points appear to vary randomly between 8 to 20 on the vertical axis. The plot reaches its maximum time series value at month 1. -A time series plot contains a series of 7 points connected by line segments. The horizontal axis ranges from 0 to 8 and is labeled: Month. The vertical axis ranges from 0 to 30 and is labeled: Time Series Value. The points are plotted from left to right at regular increments of 1 month starting at month 1. The points appear to vary randomly between 8 to 20 on the vertical axis. The plot reaches its maximum time…

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Consider the following time series: Quarter Year 1 Year 2 Year 3 69 66 60 44 36 46 60 62 55 4 79 82 73 (a) Choose a time series plot. (1) 100 80 60 40 20 0 ++ + 1 2 3. 4 6 7 Period (t) 10 11 12 (ii) 100 80 60 40 20 4 5 6 9 10 11 12