Given below is the revenue that Tesco recorded by location over the last five years: A B C D E F Tesco Revenue by Location between 2018 and 2022 Tesco Bank UK & ROI Revenue (Em) 23456 Year Number of stores 2018 7,033 2019 6,993 2020 4,613 2021 4,673 38,656 44,883 45,752 48,848 Central Europe Revenue (Em) 6,343 6,030 3,968 3,862 Revenue (Em) 1,047 1,097 1,068 735 Total Revenue (Em) 46,046 52,010 50,788 53,445
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Can you please start from point e), but please show your workings/calculations how did you get to the answer. Thank you!
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- 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…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.Please refer to the table “Pet Owners’ Behavior during Recession,” which shows results of a survey in themidst of the recession in 2008. Now that there hasbeen some economic recovery, the results may differ.a. Perform a survey of modern-day pet ownersasking the same questions. Compare andcontrast your results with those from 2008.b. Record the generation for your respondents andperform a cross-tab analysis based on those data.c. Record household life-cycle stage and perform across-tab analysis based on those data.
- It is known that the ABC oil company supplies consumers with 150 tons of products per day. The company produces only two types of products - gasoline and diesel fuel. The limiting transformation ratio of diesel fuel relative to gasoline is 0.5. a) Draw a line of the company's monthly production capacity for gasoline and diesel. b) With the advent of new technologies, production increased by 20%, and the availability of gasoline increased by 30%. Explain how the company's new product line differs from the previous one. c) If we put the gasoline production on the X-axis of the graph, what percentage of the slope capacity of the production line is different from the slope ratio of the previous production line?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…Mr. Geppetto uses exponential smoothing to predict revenue in his wood carving business. He uses a weight of = .4 for the naïve forecast and (1-) = .6 for the past forecast. What revenue did he predict for March using the data below? MONTH REVENUE FORECAST Nov 100 100 Dec 90 100 Jan 115 ---- Feb 110 ---- MARCH ? ?
- Identify the independent variable and dependent variable in this title. " Financial Literacy and financial decision making selected residents of Barangay Rizal and its effect on their Decisions. "the earnings on the assest funds of a permanent fund are to be used to support the city's library special revenue fund. How would the earnings be recorded? 02:44 the earnings on the assest funds of a permanent fund are to be used to support the city's library special revenue fund. How would the earning be recorded? Revenue at a major smartphone manufacturer was $1.3 billion for the 9 months ending March 2 up 86 percent over revenues for the same period last year. Management attributes the increase in revenues to a 10o percent increase in shipments. Despite a 32 percent drop in the average blended selling price of its line of phones. Given the information, is it surprising that the company's revenue increased when it decreased the average selling price of its phones?
- 1. Unisng the information provided, demonstrate how the centre of gravity location technique can be used to determine the best location that will minimize total travel distance.10- What type of data does the data obtained by temperature measurements fall under?I. Interval dataII. Quantitative continuous dataIII. Proportional dataIV. Quantitative discrete data A) II B) I -II C) I - III - IV D) IV E) III - II6-5 Given: Consider the following time series data. week 1 2 3 4 5 6 Value 18 13 16 11 17 14 Week Time Series Value Forecast 1 18 2 13 3 16 15.6667 4 11 13.3333 5 17 14.6667 6 14 14 MSE = 11.889 Forecast for week 7 = 14 Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7. If required, round your answers to two decimal places. Week Time SeriesValue Forecast 1 18 2 13 3 16 4 11 5 17 6 14 MSE: The forecast for week 7: Compare the three-week moving average forecast with the exponential smoothing forecast using α = 0.2. Which appears to provide the better forecast based on MSE?