The following table is the quarterly seasonal indexes for the sales data of the Trending Trading Company from 2007 to 2010.UncenteredCentered4 Quarter Moving Average4 Quarter Moving Total2x4 Quarter Moving TotalPeriod2007 Q1Q2Q3Q42008 Q1Y182180232200191196239204195206248213198203794803819826830834844853862865862884892Q2Q3Q42009 Q1Q2Q3Q42010 Q1Q2Q3270Q4221The adjusted seasonal index for the second quarter is:159716221645165616641678169717151727172717461776199.625202.750205.625207.000208.000209.750212.125214.375215.875215.875218.250222.000Seasonal Ratio116.217998.643692.887594.6860114.903897.258691.926996.0933114.881398.668290.721691.4414EO The adjusted seasonal index for the second quarter is:A. 98.6436B. 94.9269C. 94.6860OD. 94.6481E. 96.0933

Given Information: Consider the given table: Periods yt Uncentered 4-Quarter Moving Total…

Answered: The following table is the quarterly…

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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Consider the following monthly sales data for a company: Jan-2015 147772 Feb-2015 144335 Mar-2015 163943 Apr-2015 169634 May-2015 175371 Jun-2015 174825 Jul-2015 176995 Aug-2015 176208 Sep-2015 170202 Oct-2015 175510 Nov-2015 180364 Dec-2015 217629 Jan-2016 154400 Feb-2016 155596 Mar-2016 183782 Apr-2016 181209 May-2016 186359 Jun-2016 189244 Jul-2016 184978 Aug-2016 192925 Using the method of moving averages over 2 months, which month in 2016 matches the predicted value the worst? O May June July January 2
Below are percentages for annual sales growth and net sales attributed to loyalty card usage at 74 Noodles & Company restaurants. Annual Sales Growth (%) and Loyalty Card Usage (% of Net Sales)(n = 74 restaurants) Store Growth% Loyalty% Store Growth% Loyalty% 1 -8.3 2.1 38 7.1 1.6 2 -4.0 2.5 39 7.4 1.8 3 -3.9 1.7 40 7.7 2.2 4 -3.4 2.1 41 7.9 2.2 5 -3.3 2.5 42 8.1 2.8 6 -1.9 3.0 43 8.3 2.4 7 -0.8 2.3 44 8.5 3.1 8 -0.4 2.3 45 8.6 2.2 9 -0.2 2.2 46 8.7 1.3 10 -0.2 2.3 47 8.8 1.8 11 0.5 2.1 48 8.8 2.5 12 0.6 2.5 49 8.9 1.9 13 0.8 2.0 50 9.1 2.0 14 1.9 2.0 51 9.5 2.4 15 2.0 2.0 52 10.2 2.2 16…
13. Does the following have a positive, negative, or neutral trend?
Plot 2 Out-of-State Tuition 20000 15000 10000 5000 Plot 2: Distribution of Out-of-State Tuition Based on Expenditure Category Above Average Expenditure Expenditure Category Below Average Expenditure
Plot 2 Out-of-State Tuition 20000 15000 10000 5000 Plot 2: Distribution of Out-of-State Tuition Based on Expenditure Category Above Average Expenditure Expenditure Category Below Average Expenditure
The following information is taken from Johnson & Johnson's annual reports. Its common stock is listed on the New York Stock Exchange, using the symbol JNJ. Johnson & Johnson Domestic Sales International Sales Employees Year ($ million) ($ million) (thousands) 2010 $ 29,437 $ 32,124 114.0 2011 12,907 36,107 117.9 2012 29,830 37,394 127.6 2013 31,910 39,402 128.1 2014 34,782 39,548 126.5 2015 35,687 34,387 127.1 2016 37,811 34,079 126.4 2017 39,863 36,587 134.0 2018 41,884 39,697 135.1 Using the period 2010–12 as the base period, compute a simple index of international sales for each year from 2013 to 2018. (Round your answers to 1 decimal place.)The index (2010–2012 = 100) for selected years is:
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.
The following charts show the monthly S&P 500 index and the FTSE 100 index over approximately the last ten years FRED A - S&P 500 4,000 3,600 3,200 2,800 2,400 2,000 1,600 1,200 800 Jan 2012 Jan 2013 Jan 2014 Jan 2015 Jan 2016 Jan 2017 Jan 2018 Jan 2019 Jan 2020 U.S. recessions are shaded, the most recent end date is undecided. Source: S&P Dow Jones Indices LLC fred.stlouisfe 8,000.00 6,000.00 4,000.00 2,000.00 0.00 2012 2014 2016 2018 2020 The two indices relate to the USA and the UK, respectively. Both indices are I(1) a) Given that the two series are I(1), is it possible for there to be a causal relationship between them? If it is possible, how would you test for the existence of such a relationship?
The following information is taken from Johnson & Johnson's annual reports. Its common stock is listed on the New York Stock Exchange, using the symbol JNJ. Year 2016 2017 2018 2019 2020 Year 2016 2017 Johnson & Johnson 2018 2019 2020 Domestic Sales International ($ million) Sales (5 million) 34,079 36,587 39,697 37,811 39,863 41,884 39,962 43,133 42,097 39,451 Click here for the Excel Data File Using the period 2016 to 2017 as the base period, compute a simple index of domestic sales for each year from 2018 to 2020. Note: Round your answers to 2 decimal places. The index (2016 to 2017= 100) for selected years is: Simple Index Employees (thousands) 126.4 134.0 135.1 132.2 135.5
An investor is looking at past trends for three plans comparing dividends paid per share. She collects sample data from each plan to compare the average dividends paid per share. Let ? = 0.05. Plan 1 Plan 2 Plan 3 1.28 1.00 0.35 1.55 1.19 1.15 1.86 1.25 0.15 1.95 3.17 1.00 0.75 1.46 0.30 2.68 0.60 0.61 2.03 1.31 1.04 Groups Count Average Variance Plan 1 7 1.728571 0.375514 Plan 2 7 1.425714 0.667762 Plan 3 7 0.657143 0.164724 Source of Variation Sum of Squares df Mean Squares F P F crit Between Groups 4.2709 2 2.1354 5.3033 0.0155 3.5546 Within Groups 7.2480 18 0.4027 Total 11.5189 20 (a) What is the next step in the one-way ANOVA? There is not enough information, so collect more data.Stop, the results were not significant. The Tukey-Kramer post hoc test is not needed. Stop, the results were significant. The Tukey-Kramer post hoc test is not needed.Continue to the Tukey-Kramer post hoc test, as the results were…
Because of high tuition costs at state and private universities, enrollments at community colleges have increased dramatically in recent years. The following data show the enrollment for a certain community college for the nine most recent years. Year 2001 2002 2003 2004 b₁ 2005 2006 2007 2008 2009 Period (t) 1 2 3 4 5 6 7 8 9 Enrollment (1,000s) 6.7 8.3 8.2 10.4 12.3 13.1 13.5 17.0 17.9 (a) Construct a time series plot. What type of pattern exists in the data? O The time series plot shows a seasonal pattern. O The time series plot shows a nonlinear trend. The time series plot shows a horizontal pattern. O The time series plot shows a linear trend. (b) Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. (Round your answers to two decimal places.) bo (c) What is the forecast for year 10 (in 1,000s)? (Round your answer to one decimal place.) thousand students
Create a scatter diagram for this correlation with time on social networking sites along the x axis

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