(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+ - 0.0124X(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.)$34.1billion Annual retail store revenue for a technology company from 2007 to 2017 are shown below.Year Period2007200820092010201120122013201420152016201735302520151015+0234567891011(a) Construct a time series plot.Retail Store Revenue($ billions)3.915+01 2 3 4 56.1106.7779.28014.32719.02820.42821.66228.30926.99830.703AM6Period7 8 9 10 11 12What 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.O The time series plot shows a downward trend.The time series plot shows an upward trend.3530252015105-0-0123 4 56Period7 8 9 10 11 1235302520151050-01 23 45 6 7 8 9 10 11 12PeriodO353025201510500VM+1 2 3 4 5 6 7 8 9 10 11 12PeriodⓇ

we use excel softwear enter data in excel click on insert clcik on scatter plot

Answered: Annual retail store revenue for a…

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 survivorship curve indicated by the graph best represents a curve, and is common in populations of Life Stage O a. Type l, marine invertebrates O b. Type Il, fishes Oc. Type l, humans o d. Type II, birds O e. Type l, plants % Surviving
Exercise 1 Over the years, the Malaysia grocery distribution and sales industry has grown. Today, the total industry sales are in the tens millions of dollars. Major retailer such as DIY and Eco, added food to complement their merchandise sales. For many companies, forecast of industry demand are necessary to plan for short and long term decision. Using time series data below, forecast of monthly industry demand. Month (2020) Month (2021) January February March April May Demand Demand June 138 103 July August September October 131 142 149 122 110 121 175 130 November 194 June 126 December 166 July 140 a) Graph the time series data. What do you observe? b) Compute all possible forecast using exponential smoothing with a smoothing constant of 0.4. c) Compute all possible forecast using exponential smoothing with a smoothing constant of 0.9. d) Compute the MADS for each forecast model. e) What forecast model would you choose? Why? ENG 99 hp
Based on the graph rank the three economic variables listed below from most important to least important.Provide one relevant reason to justify your selection for each of the threepositions.
b and c part
Please answer ASAP. The first question contains data while the second picture contains the question.
The final grade in a particular course is determined by grades on the midterm and final. The grades for five students and the two grading systems are modeled by the following matrices. Call the first matrix A and the second B. Complete parts (a) and (b). Click to view the matrices. a. Describe the grading system that is represented by matrix B. Grading system 1 assigns 50% of the final grade to the midterm and 50% of the final grade to the final. Grading system 2 assigns 20% of the final grade to the midterm and 80% of the final grade to the final. b. Compute the matrix AB and assign each of the five students a final course grade first using system 1 and then using system 2. (89.5-100=A, 79.5-89.4 = B, 69.5-79.4 = C, 59.5-69.4D, below 59.5 = F) Grade System 1 System 2 ... Student 1 Student 2 Student 3 Student 4 Student 5 (Type A, B, C, D, or F.)
In the theory of time series, earthquakes can be considered as a. Seasonal Variation b. Cyclical Variation c. Irregular Variations d. Secular Trend
An annual marathon covers a route that has a distance of approximately 26 miles. Winning times for this marathon are all over 2 hours. The following data are the minutes over 2 hours for the winning male runners over two periods of 20 years each. Earlier Period 7 20 17 22 17 12 15 18 16 13 13 23 19 10 7 10 12 14 16 23 Recent Period 8. 9 8 7 7 7 9. 8 9. 8 7 9. 8. 14 9. 10 10 14 11 (a) Make a stem-and-leaf display for the minutes over 2 hours of the winning times for the earlier period. Use two lines per stem. (Use the tens digit as the stem and the ones digit as the leaf. Enter NONE in any unused answer blanks. For more details, view How to Split a Stem.) Minutes Beyond 2 Hours Earlier Period (b) Make a stem-and-leaf display for the minutes over 2 hours of the winning times for the recent period. Use two lines per stem. (Use the tens digit as the stem and the ones digit as the leaf. Enter NONE in any unused answer blanks.) Minutes Beyond 2 Hours Recent Period (c) Compare the two…
Based on the following graph, what is the year when the largest decrease in GDP took place ? GDP (change YoY) 6% 5% 4% 4% 3% 3% 3% 3% 2% 2% 1% -1% -1% -8% 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010o 2011 2012 2013 2009 2001 2005 2007
An entrepreneur who owns and operates two businesses (A and B) would like to analyze their profitability. They would like your help in the analysis. They give you the annual net profit (in thousands of $) for each business from 2008-2020. Table 1: Annual Net Profits for Businesses A and B Business Year Profit Business Year Profit 2008 -50 2008 -10 2009 57 2009 30 2010 71 2010 27 2011 64 2011 22 2012 60 2012 21 2013 50 2013 20 A 2014 41 2014 24 2015 59 2015 24 2016 71 2016 32 2017 71 2017 36 2018 74 2018 37 019 81 20 40 2020 97 2020 49 a. Suppose you want to graph the distribution of profits. Explain why using only one stem- plot might not be optimal for the analysis. b. Describe the correct stemplot to use. Generate this stemplot. Explain your steps. What can you say about the distribution from this stemplot? c. When are stemplots useful? And why is that? d. Suppose that instead of having 26 observations you have 200 observations. What graph should you generate? e. What other type of…

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