years 2019 2020 Quarter 2 Data Category and Component Agriculture Mining and Quarrying Unit Description Quarter 1 Quarter 2 Quarter 3 Quarter 4 Quarter 1 Quarter 3 Quarter 4 RM million 25.726 25.354 29.946 28.586 25.365 26.619 32.480 31.665 RM million 33.974 34.306 28.845 32.240 30.851 20.798 20.806 22.208 Manufacturing RM million 76.618 81.110 82.093 84.114 79.281 66.092 84.022 86.293 Electricity, Gas and Water RM million 9.661 10.176 10.494 10.522 10.296 9.306 10.289 10.529 Construction RM million 17.902 17.275 18.148 17.542 16.753 9.609 15.888 15.126 Wholesale and Retail Trade, Accommodation and Restaurants RM million 71.293 73.612 80.234 85.263 73.547 54.934 75.097 79.191 Transport, Storage and Communication RM million 34.559 35.683 36.284 36.589 35.805 30.587 35.316 34.837 Finance, Insurance, Real Estate and RM million 41.002 41.238 41.860 43.989 42.886 35.297 40.323 41.392 Business Services Other Services RM million 18.197 18.596 19.107 19.178 18.742 14.996 17.374 17.163 Government Services RM million 28.866 29.262 30.586 33.602 30.121 30.299 32.138 35.251 Less : FISIM undistributed RM million Plus : Import duties RM million 4.162 4.359 4.341 4.198 3.563 3.248 4.264 4.517

years 2019 2020 Quarter 2 Data Category and Component Agriculture Mining and Quarrying Unit Description Quarter 1 Quarter 2 Quarter 3 Quarter 4 Quarter 1 Quarter 3 Quarter 4 RM million 25.726 25.354 29.946 28.586 25.365 26.619 32.480 31.665 RM million 33.974 34.306 28.845 32.240 30.851 20.798 20.806 22.208 Manufacturing RM million 76.618 81.110 82.093 84.114 79.281 66.092 84.022 86.293 Electricity, Gas and Water RM million 9.661 10.176 10.494 10.522 10.296 9.306 10.289 10.529 Construction RM million 17.902 17.275 18.148 17.542 16.753 9.609 15.888 15.126 Wholesale and Retail Trade, Accommodation and Restaurants RM million 71.293 73.612 80.234 85.263 73.547 54.934 75.097 79.191 Transport, Storage and Communication RM million 34.559 35.683 36.284 36.589 35.805 30.587 35.316 34.837 Finance, Insurance, Real Estate and RM million 41.002 41.238 41.860 43.989 42.886 35.297 40.323 41.392 Business Services Other Services RM million 18.197 18.596 19.107 19.178 18.742 14.996 17.374 17.163 Government Services RM million 28.866 29.262 30.586 33.602 30.121 30.299 32.138 35.251 Less : FISIM undistributed RM million Plus : Import duties RM million 4.162 4.359 4.341 4.198 3.563 3.248 4.264 4.517

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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Eng. Economic book.
hello i just wanna know if my answer to this question is correct or wrong: Consider five years of monthly pro fit for a company C) Discuss whether a simple exponential smoothing model works well with this data or not. Month Sales Jan-16 747 Feb-16 697 Mar-16 1014 Apr-16 1126 May-16 1105 Jun-16 1450 Jul-16 1639 Aug-16 1711 Sep-16 1307 Oct-16 1223 Nov-16 975 Dec-16 953 Jan-17 1024 Feb-17 928 Mar-17 1442 Apr-17 1371 May-17 1536 Jun-17 2004 Jul-17 1854 Aug-17 1951 Sep-17 1516 Oct-17 1642 Nov-17 1166 Dec-17 1106 Jan-18 1189 Feb-18 1209 Mar-18 1754 Apr-18 1843 May-18 1769 Jun-18 2207 Jul-18 2471 Aug-18 2288 Sep-18 1867 Oct-18 1980 Nov-18 1418 Dec-18 1333 Jan-19 1333 Feb-19 1370 Mar-19 2142 Apr-19 2138 May-19 2078 Jun-19 2960 Jul-19 2616 Aug-19 2861 Sep-19 2237 Oct-19 2225 Nov-19 1590 Dec-19 1659 Jan-20 1613 Feb-20 1605 Mar-20 2349 Apr-20 2468 May-20 2532 Jun-20 3127 Jul-20 3288 Aug-20 3285 Sep-20 2485 Oct-20 2723 Nov-20 1835 Dec-20 1894 here is my answer: Assessing the Applicability of…
FORCASTING using the data below can you answer the question: Month Sales Jan-16 747 Feb-16 697 Mar-16 1014 Apr-16 1126 May-16 1105 Jun-16 1450 Jul-16 1639 Aug-16 1711 Sep-16 1307 Oct-16 1223 Nov-16 975 Dec-16 953 Jan-17 1024 Feb-17 928 Mar-17 1442 Apr-17 1371 May-17 1536 Jun-17 2004 Jul-17 1854 Aug-17 1951 Sep-17 1516 Oct-17 1642 Nov-17 1166 Dec-17 1106 Jan-18 1189 Feb-18 1209 Mar-18 1754 Apr-18 1843 May-18 1769 Jun-18 2207 Jul-18 2471 Aug-18 2288 Sep-18 1867 Oct-18 1980 Nov-18 1418 Dec-18 1333 Jan-19 1333 Feb-19 1370 Mar-19 2142 Apr-19 2138 May-19 2078 Jun-19 2960 Jul-19 2616 Aug-19 2861 Sep-19 2237 Oct-19 2225 Nov-19 1590 Dec-19 1659 Jan-20 1613 Feb-20 1605 Mar-20 2349…
using the data below can you answer the question: Month Sales Jan-16 747 Feb-16 697 Mar-16 1014 Apr-16 1126 May-16 1105 Jun-16 1450 Jul-16 1639 Aug-16 1711 Sep-16 1307 Oct-16 1223 Nov-16 975 Dec-16 953 Jan-17 1024 Feb-17 928 Mar-17 1442 Apr-17 1371 May-17 1536 Jun-17 2004 Jul-17 1854 Aug-17 1951 Sep-17 1516 Oct-17 1642 Nov-17 1166 Dec-17 1106 Jan-18 1189 Feb-18 1209 Mar-18 1754 Apr-18 1843 May-18 1769 Jun-18 2207 Jul-18 2471 Aug-18 2288 Sep-18 1867 Oct-18 1980 Nov-18 1418 Dec-18 1333 Jan-19 1333 Feb-19 1370 Mar-19 2142 Apr-19 2138 May-19 2078 Jun-19 2960 Jul-19 2616 Aug-19 2861 Sep-19 2237 Oct-19 2225 Nov-19 1590 Dec-19 1659 Jan-20 1613 Feb-20 1605 Mar-20 2349 Apr-20 2468…
The management of a certain company would like to use the following data to learn about its customer base and to evaluate the first day promotional campaign purchases. Customers who made purchases with discount coupons were labelled as “Promotional Customers”, and “Regular Customers” was used for those who did not use coupons. Customer Type of Customer Items Net Sales (GH¢) Method of Payment Gender Marital Status Age 1 Regular 1 100 Vodacash Male Married 32 2 Promotional 1 105 MTN mobile money Female Single 36 3 Regular 1 230 Airtel money Female Married 32 4 Promotional 5 300 MTN mobile money Male Married 28 5 Regular 2 150 Vodacash Female Single 34 6 Regular 20 450 Vodacash Female Married 44 7 Promotional 2 78 MTN mobile money Male Married 30 8 Promotional 3 120 MTN mobile money Female Single 22 9 Promotional 6 345…
A cottage industry exists in the home-manufacture of ‘country crafts’. Especially treasured are handmade quilts. If the fourth completed quilt took 30 hours to make, and the eighth quilt took 28 hours. What is the percentage learning? Hint: Percentage learning = 100% - (c2/c1)•100%
1. Data collection, compilation, and analysis from secondary sources using suitable reference (APA, for example). 2.Examine acquired data and update it so that it is relevant to the context, audience, and purpose. 3. Text (facts, assertions, statistics, etc.) is combined with graphic components such as tables and figures to create a dynamic and entertaining presentation. to design a Message for a specific Audience, with a specific Purpose with the purpose of delivering a certain outcome. Deliver a 4-minute presentation on a topic of your choice that is clear and succinct. I propose that you select a topic that you are comfortable with. You may give a presentation on "how to make coffee in the morning" or "how to find the "best" parking spot," for example. Instructions Identify the presentation's goal and explain why your presentation will be beneficial to your audience. Provide clear and concise context to ensure that all topics are understood immediately. Make your presentation.…
The following table shows the sales volumes for company XYZ in millions of KES. Use the belowinformation to forecast the sales volumes in in 2022, 2023, 2024. 2026.Year2012203320142015201620172018201920202021Sales 220024003200450055009000150010800163009500 Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.
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FORCASTING: using this data below using excel answer the questions please: Month Sales Jan-16 747 Feb-16 697 Mar-16 1014 Apr-16 1126 May-16 1105 Jun-16 1450 Jul-16 1639 Aug-16 1711 Sep-16 1307 Oct-16 1223 Nov-16 975 Dec-16 953 Jan-17 1024 Feb-17 928 Mar-17 1442 Apr-17 1371 May-17 1536 Jun-17 2004 Jul-17 1854 Aug-17 1951 Sep-17 1516 Oct-17 1642 Nov-17 1166 Dec-17 1106 Jan-18 1189 Feb-18 1209 Mar-18 1754 Apr-18 1843 May-18 1769 Jun-18 2207 Jul-18 2471 Aug-18 2288 Sep-18 1867 Oct-18 1980 Nov-18 1418 Dec-18 1333 Jan-19 1333 Feb-19 1370 Mar-19 2142 Apr-19 2138 May-19 2078 Jun-19 2960 Jul-19 2616 Aug-19 2861 Sep-19 2237 Oct-19 2225 Nov-19 1590 Dec-19 1659 Jan-20 1613 Feb-20 1605 Mar-20 2349 Apr-20 2468 May-20 2532 Jun-20 3127 Jul-20 3288 Aug-20 3285 Sep-20 2485 Oct-20 2723 Nov-20 1835 Dec-20 1894 Consider five years of monthly profit for a company Plot the data and…