Business at Terry's Tie Shop can be viewed as falling into three distinct seasons: (1) Christmas (November-December); (2) Father's Day (lateMay - mid-June); and (3) all other times.. Average weekly sales (in $'s) during each of these three seasons during the past four years has beenas follows:SeasonYear 1Year 2Year 3Year 411810197622412280200821552306240839111054511051120Assuming that the sales is not experiencing any leaner increasing or decreasing trends.1.Determine a forecast for the average weekly sales in year 5 for season1. (Round to two decimal places)Note: Please type a number and only a number in the text box.Answer:

Answered: Image /qna-images/answer/54e6ad03-9ac3-44eb-aa5b-a8bb7ea4949e.jpg

Answered: Business at Terry's Tie Shop can be…

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
South Shore Construction builds permanent docks and seawalls along the southern shore of Long Island, New York. Although the firm has been in business only five years, revenue has incand from £212,000 first year of operation to $1,079,000 in the most recent year. The following data show the quarterly sales revenue in thousands of dollars. Quarter 1 2 Year 1 20 102 174 Year 2 28 129 254 37 Year 3 B1 165 329 AY Year 4 102 203 383 77 Year 159 284 448 179
Year, x 2009, 0 2010, 1 2011, 2 2012, 3 2013, 4 2014, 5 Average Monthly Cost to Workers for Family Health Insurance $296 338 348 362 384 404
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Forecasting Methods: Perform Trend Series Analysis (sales projection for the year 10, 12 and 17) Make based on the sales data below:Year 1: 24,333; Year 2: 33,524; Year 3: 26,778; Year 4: 30,567; Year 5: 27,564; Year 6: 24,555; Year 7: 21,777 and Year 8: 25,669.
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
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?
QUESTION 1 Table Q1 shows the revenue of XYZ Company from radio advertisement in 2021. a) Produce the best fit equation relationship between revenue vs advertisement. b) Plot data on a graph paper and draw a best linear fit revenue vs advertisement. c) Determine the linearity uncertainty/error eL(x) and eL(x)max. d) Determine percentage of maximum linearity uncertainty/error %eL(x)max.
In the theory of time series, earthquakes can be considered as a. Seasonal Variation b. Cyclical Variation c. Irregular Variations d. Secular Trend
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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

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