QUESTION 4Consider the following two figures.Japanese Yen per 1 US Dollar GraphDanish Krone per 1 Euro Graph12 Mar 2018 16:00 UTC - 11 Apr 2018 16:48 UTC12 Mar 2018 16:00 UTC - 11 Apr 2018 16:10 UTC107.075917.4648491106 397037.45520221d5.71416TAS9552105.039287.4359083104.360407.4262613Mar 12Mar 19Mar 26Apr 2Apr 9Mar 12Mar 19Mar 26Apr 2Apr 9Which of the following statements is correct?O A. the left figure describes a fixed exchange rate; the right figure describes a fixed exchange rateO B. the left figure describes a flexible exchange rate; the right figure describes a flexible exchange rateO C. the left figure describes a fixed exchange rate; the right figure describes a flexible exchange rateO D. the left figure describes a flexible exchange rate; the right figure describes a fixed exchange rate

given solution: option c is the answer: Considering the figures above of the exchange rate regimes,…

Answered: Consider the following two figures.…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

QUESTION 1 Weekly closing prices (in RM) for Telstra for Sept 2015 - October 2015 is as follows: Week Share Price 1 3.47 2 3.58 3 3.41 4 3.39 5 3.25 6 3.40 7 3.35 8 3.51 9 3.41 10 3.41 Solve: 1. Use a 3 week moving average (SMA) to forecast the price for week 11. 2. Use a 3 week weighted moving average (WMA) to forecast the price for week 11. Use the weight of 3 for the latest period, 2 for the second latest period and 1 for the third latest period. 3. Use the exponential moving average (EMA) forecast to forecast price for week 11. Use α = 0.2 as the smoothing constant. Initial week 1 forecast was 3.47. 4. Which forecast gave the best result? Use MAD to find out. QUESTION 2 Sales of Cool Man air conditioners have grown steadily during the past five years: Year Sales 1 450 2 495 3 518 4 563 5 584 6 ? *The sales manager predicted that year 1 sales would be 450 air conditioners. Solve: 1. Using α = 0.30, develop forecast for year 2…
Question 1 - 3 refer to following variables: Dependent variable: Monthly Income Independent variable: Year of Education Predict the Monthly income for 16 years of education (Round off to two decimal places if necessary).
Question 9b . Describe the relationship displayed in the scatterplot (Using DUFS)
QUESTION 1 i. Illustrate using a comparative line graph (three lines on one graph) the following for 2014 to 2020: mobile subscription growth rate (%), 2) fixed internet subscription growth rate (%) and 3) Pay TV subscription growth rate. ii. Interpret the trends observed in part a.i. above.
QUESTION 17 DATAfile: NFLTeamValue In 2014, the 32 teams in the National Football League (NFL) were worth, on average, $1.17 billion, 5% more than in 2013. The following data show the annual revenue ($ millions) and the estimated team value ($ millions) for the 32 NFL teams in 2014.† Team Revenue($ millions) CurrentValue($ millions) ArizonaCardinals 253 961 AtlantaFalcons 252 933 BaltimoreRavens 292 1,227 BuffaloBills 256 870 CarolinaPanthers 271 1,057 ChicagoBears 298 1,252 CincinnatiBengals 250 924 ClevelandBrowns 264 1,005 DallasCowboys 539 2,300 DenverBroncos 283 1,161 DetroitLions 248 900 Green BayPackers 282 1,183 HoustonTexans 320 1,450 IndianapolisColts 276 1,200 JacksonvilleJaguars 260 840 Kansas CityChiefs 245 1,009 Team Revenue($ millions) CurrentValue($ millions) MiamiDolphins 268 1,074 MinnesotaVikings 234 1,007 New EnglandPatriots 408 1,800 New OrleansSaints 276 1,004 New YorkGiants 338 1,550 New YorkJets 321…
The problem is based on the following data given. Observations of the demand for a certain part stocked at a parts supply depot during the calendar year 2013 were ( as shown ). What would an MA(1) forecasting method mean? Compare the accuracy of MA(1) and MA(4) forecasts for July through December 2013.
PART D &E ONLY The following data set provides the total number of shipments of core major household appliances in the U.S. from 2000 to 2016 (in millions): Year Shipments (millions) 2000 38.4 2001 38.2 2002 40.8 2003 42.5 2004 46.1 2005 47.0 2006 46.7 2007 44.1 2008 39.8 2009 36.5 2010 38.2 2011 36.0 2012 35.8 2013 39.2 2014 41.5 2015 42.9 2016 44.7 a. Plot the time series. b. Fit a three-year moving average to the data and plot the results. c. Fit a five-year moving average to the data and plot the results. d. Compute a linear trend forecasting equation and plot the trend line. e. Compute a quadratic trend forecasting equation and plot the results.
Question # 1 A well-known multinational FMCG produces more than fifty products and sells them in the market. Out of fifty products one is mineral water for drinking purpose and supplies different size pack bottles in the market. Product manager observed that, during hot days the sale of water is more as compared to the normal days. He started the collection of data of weekly sale of water and the average weekly temperature. Product manager was interested in developing a relationship between sales and temperature; therefore, he discussed and shared the following data with you. sales 75 77 69 63 79 80 77 70 73 87 72 73 80 80 69 84 77 72 74 81 temperature 32 36 31 31 34 29 32 35 28 31 30 31 29 35 36 28 32 33 32 33 Sale is in thousand liters and temperature is in degree Celsius. Data…
Question 3 (4 Marks) Five students taking a Business Statistics module at MANCOSA were asked to provide an example of a variable they have encountered in their day-to-day life. Their responses are as follows: Student Variable Lungani The body temperature of a patient diagnosed with COVID-19 Nsika The price of a technology company stock on the NASDAQ Thembekile The age of his bull mastiff Mduduzi The number of female students in Mduduzi’s Python class Which student/s provided a continuous true
QUESTION 4 (a) The researcher is concerned that older persons may not be knowledgeable of the COFLU-20. As such, he is interested in investigating the association between the age of the respondents and their knowledge level. Table 2 below shows the knowledge level of respondents, by age group. Table 2 Age Group Knowledge Level Total Poor Satisfactory Good 18 - 25 33 16 13 62 26 - 34 30 18 12 60 35 - 44 29 14 12 55 45 - 54 36 16 18 70 55 - 75 17 14 22 53 Total 145 78 77 300 (b) Finally, the researcher is interested in examining the regression model for knowledge, attitude and practices towards the COFLU-20. The following model was developed to forecast individual practices towards COFLU-20 using knowledge and attitude scores. P = α + β K + δ A where P = Practice towards COFLU-20 score K = Knowledge towards COFLU-20 score A = Attitude towards COFLU-20 score The data are processed using…
Question 5 The following table represents the MPY closing sock price over a period of 9 trading days. Trading Day Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7 Day 8 Day 9 Stock Price $30.61 $32.19 $31.34 $33.9 $34.14 $30.9 $31.74 $33.36 $34.66 What is the 4th 5-day simple moving average? Round your answer to nearest penny. Input just the number. Do not input the dollar sign. Do not use a comma. Example 56.98
Mercury is a persistent and dispersive environmental contaminant found in many ecosystems around the world. When released as an industrial by-product, it often finds its way into aquatic systems where it can have deleterious effects on various avian and aquatic species. The accompanying data on blood mercury concentration (µg/g) for adult females near contaminated rivers in a state was read from a graph in an article. 0.20 0.23 0.24 0.30 0.35 0.41 0.54 0.57 1.43 1.70 1.82 2.20 2.24 3.08 3.24 (a) Determine the values of the sample mean and sample median. Hint: xi = 18.55. (Round your answers to four decimal places.) x== Explain why they are different. The sample mean and sample median are never equal.They aren't different since the data is symmetric. There is heavy negative skewness in the data.There are an odd number of data values.There is heavy positive skewness in the data. (b) Determine the value of the 10% trimmed mean.…

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS