46. Calculate the Seasonal Index from the following data using the averagemethod :Year2nd Quarter3rd Quarter4th Quarter1st Quarter688070201372708274201476668480201574748478201676748682201778

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Answered: 46. Calculate the Seasonal Index from…

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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3. The Save More Rental Car Agency at the Cincinnati airport would like to examine records from last summer in order to plan for the coming summer demand. The data for last year's demand, broken down by type of vehicle requested, is shown in the table below. Vehicle Type Sub-compact Compact Full-size Frequency 545 892 740 360 280 168 2985 * Total is not equal to 1.000 due to rounding error. Relative Frequency 0.183 0.299 0.248 Luxury SUV Van Total 0.121 0.094 0.056 1.001* a) Construct a frequency and relative frequency bar chart for the data. b) Construct a pie chart to display the information. c) This summer's demand is expected to be 20% higher than demand for last summer. Approximately how many luxury cars are expected to be rented this summer?
C8. According to the Pew Research Center (2015), recent immigrants are better educated than earlier immigrants to the United States. The change was attributed to the availability of better education in each region or country of origin. The percentage of immigrants 25 years of age and older who completed at least high school is reported in this table for 1970 to 2013. Write a statement describing the change over time in the percentage who completed at least a high school degree. 1970 1980 1990 2000 2013 Mexico 14 17 26 30 48 Other Central/South America 57 53 60 66 Asia 75 72 75 82 84 48 68 81 87 95 Europe 36 48 52 58 72 Caribbean 81 91 88 85 85 Africa Source: Pew Research Center, Modern Immigration Wave Brings 59 Million to U.S., Driving Population Growth and Change Through 2065, 2015. Retrieved from https://www.pewresearch.org/hispanic/2015/09/28/modern- immigration-wave-brings-59-million-to-u-s-driving-population-growth-and-change-through-2065/ 52
Compute the price index for the year 2010 with 2000 as base year by using Fisher's ideal index method. 2000 2010 Commodity Price Expenditure Price Expenditure Wheat 100 500 150 900 Rice 80 320 100 500 Pulses 60 180 72 360 Others 30 360 33 297
Consider the monthly unit sales for 2019, the company's full year 2020 forecast, and year-to-date monthly unit sales for 2020. 2020 Company Forecast 2020 YTD 2019 Month Actual Actual Jan 104 101 100 Feb 92 93 103 Mar 105 109 101 Apr 90 101 103 May 95 95 100 Jun 97 99 106 Jul 99 100 102 Aug 101 98 100 Sep 104 106 108 Oct 98 101 101 Nov 91 95 Dec 94 95 You have been asked to revise the 2020 forecast for November. What has the mean absolute deviation been for the first ten months of 2020? Answer with one decimal point. What has the bias been for the first ten months of 2020? Answer with one decimal point. What is your forecast for November, 2020, using the Naive method? Answer as an integer.| What is the forecast for November, 2020 using a three month moving average? Answer as an Integer. What is the forecast for November, 2020 using a weighted average with welghts of 20%, 30% and 50% for August, September and October, respectively? Answer as an integer.
The following are the index numbers of wholesale prices of a commodity based on 2011: Year Index Numbers Year Index Numbers 2011 2012 2013 2014 100 108 2015 2016 2017 210 225 240 120 150 Prepare new Index Numbers taking 2013 as base.
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…
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
1. A sales manager would like to see his sales representative’s unit sales per month. The secretary was told to keep a monthly record of the sales. The following are the data from the previous months (in ascending order): 5, 6, 8, 10, 10, 14, 15, 16, 16, 17, 17, 18, 19, 21, 21, 23, 26, 27, 28, 28, 28, 30, 38, 43. Compute for the median and mode. What is the range for the monthly sales?
3) Estimate the average number of years they stay at their current house for all citizens living in that area.
Year Population 1790 3,929,214 1800 5,308,483 1810 7,239,881 1820 9,638,453 1830 12,866,020 1840 17,069,453 1850 23,191,876 1860 31,443,321 1870 39,818,449 1880 50,155,783 1890 62,947,714 1900 75,994,575 1910 91,972,266 1920 105,710,620 1930 122,775,046 1940 131,669,275 1950 150,697,361 1960 179,323,175 1970 203,302,031 1980 226,545,805 1990 248,709,873 2000 281,421,906 2010 308,745,538 Use excel to calculate the Least Squares Regression Line for the census data? (need to include correct values for a and b) Using the line, you calculated in number 5, what would you predict the population to have been in 1985? EXPLAIN. Should you use the previously calculated Regression Line to predict population in the year 2200? EXPLAIN.

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46. Calculate the Seasonal Index from the following data using the average method : Year 1st Quarter 2nd Quarter 3rd Quarter 4th Quarter 2013 72 68 80 70 76 70 82 74 2014 74 66 84 80 2015 76 74 84 78 2016 74 86 82 2017 78