the following data represents a set do demands that have occurred over the last several years at a soap making company. The data were collected on an annual basis. Year Actual Demand (At) Forecast (Ft) 1 310 2 365 3 395 4 415 5 450 6 465 7 a) using the SIMPLE AVERAGE method to predict the demand for the 7th year b) the SIMPLE MOVING AVERAGE method to predict the demand for the 7th year

the following data represents a set do demands that have occurred over the last several years at a soap making company. The data were collected on an annual basis. Year Actual Demand (At) Forecast (Ft) 1 310 2 365 3 395 4 415 5 450 6 465 7 a) using the SIMPLE AVERAGE method to predict the demand for the 7th year b) the SIMPLE MOVING AVERAGE method to predict the demand for the 7th year

Managerial Economics: A Problem Solving Approach

5th Edition

ISBN:9781337106665

Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor

Publisher:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor

Chapter8: Understanding Markets And Industry Changes

Section: Chapter Questions

Problem 8.2IP

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The monthly demand of a company is showed below, please use the static method to forecast the demand for Year 6. Sales Year 1 Year 2 Year 3 Year 4 Year 5 JAN 2,000 3,000 2,000 5,000 5,000 FEB 3,000 4,000 5,000 4,000 2,000 MAR 3,000 3,000 5,000 4,000 3,000 APR 3,000 5,000 3,000 2,000 2,000 MAY 4,000 5,000 4,000 5,000 7,000 JUN 6,000 8,000 6,000 7,000 6,000 JUL 7,000 3,000 7,000 10,000 8,000 AUG 6,000 8,000 10,000 14,000 10,000 SEP 10,000 12,000 15,000 16,000 20,000 OCT 12,000 12,000 15,000 16,000 20,000 NOV 14,000 16,000 18,000 20,000 22,000 DEC 8,000 10,000 8,000 12,000 8,000 Total 78,000 89,000 98,000 115,000 113,000
FORCASTING Month Time QJan 1 46Feb 2 56Mar 3 72Apr 4 67May 5 77Jun 6 66Jul 7 69Aug 8 79Sep 9 88Oct 10 91Nov 11 94Dec 12 104Jan ?Feb ? Make a forecast of the demand for the month of January and February
A firm keeps a record of sales and prices over the past seven months, resulting in the following table: Price (ZMW/ton) Sales (tons) Nov. 1985 7.5 84.5 Dec. 8.0 82.0 Jan. 1986 8.0 84.0 Feb. 7.2 92.0 March 7.0 95.0 April 8.0 92.0 May 8.5 91.5 Use these observations to estimate demand as a linear function of both price and time. Further, utilise this function to estimate demand for the following month, on the assumption that: (a) price remains unchanged, (b) price increases to ZMW9/ton. Hence estimate the price elasticity of demand between these prices and find the price which would maximise sales revenue. Given the nature of the observations, comment on any difficulties in interpreting your results for decision-making purposes.
The price for cigarettes sold by Big Tobacco Co Ltd was6.00 per packet in March 2018. During the month of March, the consumption of cigarettes was 1000 packets. However, the Board of Directors of Big Tobacco Co Ltd decided to increase the price by 25% during the month of April. As a manager you noted that price elasticity of demand was 0.8. As a manager Big Tobacco Co Ltd: Advise your management ofthe strategy that could be adopted by your firm to maintain sales.
Techs Ltd is an electronics manufacturer and retailer. Its main products are Netbook computers, PCs and Electronic Calculators. The current price of the Netbook is Kshs.50,000 the PC is Kshs.80,000 and the calculator is Kshs.4,000. This year the firm sold 10,000 Netbooks, 20,000 PCs and 1 million calculators. In an attempt to improve revenue the managers of the firm have decided to increase all prices by 10%. Market research has suggested that the price elasticity of demand for each product is: Netbook: -1.5; PC: -2.5; Calculator: -0.6.You have been asked to evaluate and comment on the planned price increases. a.What will be the resultant change in quantities sold after the price increase? b.Is a price increase advisable for all the three products? (Explain your answer).
Tom Glass forecasts electrical demand for the Flatlands Public Power District (FPPD). The FPPD wants to take its Comstock power plant out of service for maintenance when demand is expected to be low. After shutdown, performing maintenance and getting the plant back on line takes two weeks. The utility has enough other generating capacity to satisfy 1,550 megawatts (MW) of demand while Comstock is out of service. Table shows weekly peak demands (in MW) for the past several autumns. When next in year 6 should the Comstock plant be scheduled for maintenance?
AD has estimated the following demand relationship for its product over the last four years, using monthly observations: ln Qt = 4.932- 1.238 ln Pt + 1.524 ln Yt-1 + 0.4865lnQt-1(2.54) (1.38) (3.65) (2.87)R2= 0.8738where Q = sales in units, P = price in Rs., Y is income in Rs,000, and the numbers in brackets are t-statistics.a. Interpret the above model.b. Make a sales forecast if price is Rs. 9, income last month was Rs. 25,000 and sales last month were 2,981 units.c. Make a sales forecast for the following month if there is no change in price or income.d. If price is increased by 5 per cent in general terms, estimate the effect on sales, stating any assumptions.
kad has estimated the following demand relationship for its product over the last four years, using monthly observations: ln qt = 4.932- 1.238 ln pt + 1.524 ln yt-1 + 0.4865ln qt-1 (2.54) (1.38) (3.65) (2.87) r 2= 0.8738 where q = sales in units, p = price in rs., y is income in rs,000, and the numbers in brackets are t-statistics. a. interpret the above model. b. make a sales forecast if price is rs. 9, income last month was rs. 25,000 and sales last month were 2,981 units. c. make a sales forecast for the following month if there is no change in price or income. d. if price is increased by 5 per cent in general terms, estimate the effect on sales, stating any assumptions.
Monthly Consumer Price Index from January 2015 to December 2020 (Source: STATIN) Month 2015 2016 2017 2018 2019 2020 January 85.4 88.6 90.9 95.2 97.4 102.5 February 84.8 87.9 91.1 95.1 97.4 103.2 March 85.3 87.8 91.4 95.0 98.2 102.9 April 85.4 87.5 91.7 94.6 98.3 103.7 May 85.9 87.7 91.8 94.6 99.1 103.8 June 86.3 88.5 92.4 95.0 99.0 105.2 July 87.0 88.9 92.9 95.9 100.0 105.7 August 87.7 89.3 93.2 96.8 100.8 105.9 September 88.1 89.7 93.8 97.9 101.2 106.1 October 88.4 89.9 94.2 98.6 101.8 106.9 November 88.8 90.3 94.7 98.6 103.2 107.6 December 89.0 90.5 95.2 97.6 103.6 109.0 From the Table above: In December 2018, Mr. Logan Hepburn began receiving a salary of $100,000 per month.Up to December 2020, his salary has remained unchanged. What is his ‘‘real wage’’ in December…
The price for cigarettes sold by Big Tobacco Co Ltd was6.00 per packet in March 2018. During the month of March, the consumption of cigarettes was 1000 packets. However, the Board of Directors of Big Tobacco Co Ltd decided to increase the price by 25% during the month of April. As a manager you noted that price elasticity of demand was 0.8. As a manager Big Tobacco Co Ltd: Also, advise your government on recommended interventions in the cigarette market.
The price for cigarettes sold by Big Tobacco Co Ltd was 6.00 per packet in March 2018. During the month of March, the consumption of cigarettes was 1000 packets. However, the Board of Directors of Big Tobacco Co Ltd decided to increase the price by 25% during the month of April. As a manager you noted that price elasticity of demand was 0.8. As a manager Big Tobacco Co Ltd: As a manager Big Tobacco Co Ltd store advise your management of the strategy that could be adopted by your firm to maintain sales
The price for cigarettes sold by Big Tobacco Co Ltd was6.00 per packet in March 2018. During the month of March, the consumption of cigarettes was 1000 packets. However, the Board of Directors of Big Tobacco Co Ltddecided to increase the price by 25% during the month of April. As a manager you noted that price elasticity of demand was 0.8. As a manager Big Tobacco Co Ltd: A. Advise your management of the strategy that could be adopted by your firm to maintain sales. B. Also, advise your government on recommendedinterventions in the cigarette market.