(b) Sales data of different quarters for years 2019 to 2021 for are given below:Year 2019SalesYear 2020SalesYear 2021Sales1 Quarter7801* Quarter12901 Quarter17902 Quarler2 Quarter137021 Quarter18007703rd Quarter96013803 Ouarter20501h Quarter1 Quarter18501" Ouarter25601300Forecast sales for each quarter of the year 2022 using appropriate melhod.

Let us define Q1=1, if the quarter is 10, otherwise Q2=1, if the quarter is 20, otherwise Q3=1, if…

Answered: b) Sales data of different quarters for…

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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Following shows the numbers of Amazon Prime members in the millions, each quarter from 2016 to 2021. Quarter 2016 2017 2018 2019 2020 2021 1 26 36 48 62 81 98 2 27 37 50 65 83 103 3 29 40 53 69 86 109 4 33 44 57 74 93 117 Construct a line chart using the data. Describe the relationship between the time and number of subscribers.
Describe and explain the changes shown by the table between the two years for the following age groups: 1-5 years, 11-20 years, 21-50 years, and 61-90 years Answer: 2019 Female 2019 Male 2021 Female 2021 Male 1 to 5 years old 4.1% 4.5% 4.0% 4.4% 11 to 20 years old 8.7% 9.8% 8.6% 9.5% 21 to 50 years old 21.5% 23.6% 21.7% 23.8% 61 to 90 years old 4.9% 4.8% 5.2% 5%
Need help with A & C.
48. From the data given below, calculate seasonal indices for I, II, III and IV quarters assuming the trend is absent : Quarter Year 2014 2015 2016 2017 2013 41 45 44 40 42 35 36 38 35 37 II 38 36 38 38 39 II 40 41 42 IV 40 38
The following graph shows the average grade point average for a particular college from 2004 until 2011. Average GPA 3.20 OA OC OD 3.15 3.10 3.05 3.00 2.95 2.90 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Year Which one of the following statements is correct? A) Historically, the Average GPA of the college tends to decrease. B) There appears to be no relationship between Year and Average GPA. C) Year is the dependent variable in the graph. D) Average GPA is the dependent variable in the graph.
Building Year of sale 1 2005 1 2005 2 2007 2007 2004 2007 2007 2008 2008 2008 ID Property # Area (ft.) Price 1030 11 Apartment 30 743.09 $ 246,172.68 1029 10 Apartment 29 756.21 $ 246,331.90 2002 7 Apartment 2 587.28 $ 209,280.91 2031 12 Apartment 31 1604.75 $ 452,667.01 1049 11 Apartment 49 1375.45 $ 467,083.31 3011 9 Apartment 11 675.19 $ 203,491.85 3026 9 Apartment 670.89 $ 212,520.83 3023 1 Apartment 720.81 $ 198,591.85 1031 6 Apartment $ 265,467.68 782.25 794.52 4023 3 Apartment $ 235,633.26 Customer Entity Name Surname Interval Gender Country State ID C0028 Individual Madalyn Mercer 19 18-25 F USA California Home C0027 Individual Lara Carrillo 22 18-25 F USA California Home C0112 Individual Donavan Flowers 22 18-25 M USA California Home C0160 Individual Darien Dorsey 22 18-25 M USA California Investment C0014 Individual Alessandra Perry 25 18-25 F USA California Home C0125 Individual Kaitlin Owen 26 26-35 F USA Virginia Investment C0125 Individual Kaitlin Owen 26 26-35 F USA…
The following is historical sales data ABC Clothing Inc: Month Sales (units) 5-Month Moving Avg. Jan-19 Feb-19 Mar-19 Apr-19 May-19 Jun-19 Jul-19 Aug-19 Sep - 19 Oct-19 Nov - 19 Dec-19 Jan-20 Feb-20 Mar-20 Apr-20 May-20 10 15 20 20 25 20 20 25 30 35 40 50 70 85 100 125 P a) Complete the chart by calculating the 5-month moving average and make a forecast for May 2020. b) Do you think the forecasted value for May-20 using the 5-month moving average is accurate? What are some other methods that you could have used to make a forecast?
Calculate the 3 yearly and 5 yearly moving averages for the following time series : 1988 1989 1990 1991 | 1992| 1993 1994 | 1995 | 1996 1997 1998 Year : Prodn. (in quintals) : 500 540 550 | 530 520 560 600 640 620 610 640
The following table gives the U.S. national debt for selected years from 1900 to 2013. U.S. Debt ($ billions) 3233 5225 Year 1900 1910 1920 1930 1940 1945 1955 1965 1975 1965 U.S. Debt ($ billions) 1 1 24 16 43 259 273 314 533 1823 Year 1990 1996 2000 2005 2009 2010 2011 2012 2013 5674 7933 11,957 13,529 15,476 16,067 16,856 (a) Using a function of the form ya b^x, with x=0 in 1900 and y equal to the national debt in billions, model the data. (Round your coefficients to four decimal places.) y= (b) Use the model to predict the debt in 2023. (Round your answer to the nearest billion.) $ billion (c) Predict the year in which the debt will be $71 trillion ($71,000 billion).

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b) Sales data of different quarters for years 2019 to 2021 for are given below: Year 2019 Sales Year 2020 Sales Year 2021 Sales 1 Quarter 1* Quarter 1290 1 Quarter 1790 2 Quarter 2 Quarter 2 Quarter 770 1370 1800