Statement_Ch_7

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

Consider the following actual and forecast demandlevels for Big Mac hamburgers at a local McDonald’s restaurant:DAY ACTUAL DEMAND FORECAST DEMANDMonday 88 88Tuesday 72 88Wednesday 68 84Thursday 48 80FridayThe forecast for Monday was derived by observing Monday’sdemand level and setting Monday’s forecast level equal to this demand level. Subsequent forecasts were derived by using expo-nential smoothing with a smoothing constant of 0.25. Using this exponential smoothing method, what is the forecast for Big Macdemand for Friday?

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

Co. XYZ manufactures a productand sells it for $8 per unit. Her fixedcosts are $5,000 and her variablecost per unit is given by the equationCalculate the equilibrium quantity qalgebraically. 2.444 (X)-2200 A. (q-800) B. q=900 C. (q 650) D. None of the above In the previous problem (27), calculate the amount ofequilibrium Total Income. A. 4,500 B.$3,000 C. $7,200 D. $9,000 In the above problem (27), calculate thebreak-even Total Cost amount. A. 4,500 B. $3,000 C. $9,200 D. 7,200 In the previous problem (27)determine the profit when q-1800.modes of A. $4,500 B. 5,000 C.$6,000 D. 7,000 In the previous problem (27), determine the gain when q-450. A. $2,500 B. -$2,500 C.$6,000 D. -$4,500 In the aboveproblem (27), find the required output (q), to make a profit of$10,000. A. 3,000 B. 4,000 C. 2,500D. 2,700

KSU Products has just carried out a survey of the demand fortheir guidebooks to spoken Arabic. They have found thefollowing results over the last six months.Sales revenue 356 398 372 360 365 350Price    ($) 4.5 4.0 4.2 4.5 4.3 4.8a. Estimate an appropriate demand relationship; Q=aPb.b. Make a forecast of sales revenue for a price of $5, statingany assumptions.c. Estimate the price elasticity of demand for the data as a whole.d. If price is raised 10 per cent in general terms, what willhappen to revenue?

MOER The table below shows how supply and demand Price ($/gal) Demand (million of gal.) 1 1.2 790 700 1.4 640 1.6 580 1.95 497 2.2 450 2.4 430 2.6 420 2.8 390 3 360 Note: there is some randomization in the above data to account for price fluctuations. Make sure to check that you input the correct data in your device. Perform the following work • Assume that Supply has a quadratic relationship with the price. Find this relationship (the help buttons contain an article to compute trend-lines in Excel): -21.935p² + 207.365p+339.085 Round your answer to 3 decimal places S(p) ● D(p): = 1.53 • Assume that the Demand has a quadratic relationship with the price. Find this relationship (the help button links to an article to compute trend-lines in Excel): 85.561p² - 543.789p + 1236.729 Round your answer to 3 decimal places Video Solve | Sn... of gasoliine vary depending on the price: Supply (million of gal.) 511 550 600 641 660 680 700 720 735 786 605 - • Use the trendlines to find the price…

Part C 3. The manager of a certain gasoline station wants to forecast the demand for the unleaded gasoline next month so that the proper number of gallons can be ordered from the distributor. The manager has accumulated the following data demand for unleaded gasoline from sales during the past eight months. Month Gasoline Demanded (gallons) Mar 900 Given that the forecast for March is 920. Apr 755 May 650 Jun 550 Jul 625 Aug 730 Sept 820 Oct 1 100 a. Compute the exponential smoothed forecast for the demand from April to November. Use a = 0.25. b. Compute the exponential smoothed forecast for the demand from April to November. Use a = 0.45. c. Plot the actual demand and the forecasts determined in part a and b on the same graph and compare them. d. Make a comparative analysis out of your answers in the plotted data. (3-5 sentences)

Ques 8and 9 please

In the past Peter Kelles tire dealership in Baton Rouge sold an average of 1100 radials each year. In the past 2 years 220 and 240 respectively were sold in fall 360 and 320 in winter and 140 and 160 in spring and 300 and 460 in summer. With a major expansion planned, Kelle projects sales next year to increase to 1300 radials.  Based on next years projected sales the demand for each season is going to be (enter your responses as whole numbers)                    Season        Demand                      Fall               272                     Winter          [__]

Question 40 The demand for commodity X is represented by the equation P = 100 - Q and supply by the equation P = 40 + Q. The equilibrium quantity is: 40 30 20 70 « Previous Next » No new data to save. Last checked at 7:37pm Submit

I Consider the demand for trading cards listed below. Month Demand Jan. 51,000 48,000 Feb. March 55,000 April May 58,000 66,000 June 69,000 80,000 July Aug. 95,000 Use Excel to prepare a forecast for September, October, and November using linear regression Print out the sheet of results, as well as a sheet containing the formulas that you used ( can be used to toggle between displaying values and displaying formulas or you can click on Formulas>Formula Auditing→Show Formulas.) and for the cars is 16.000

The demand of a product of a company is given below for the periods. Can we use Winter method for forecasting demands of the A following 3 periods? Why? If yes, apply it past 4. 6. Demand 27 31 40 31 35 45

Based on the information in the following table, use the Exponential Smoothing Approach (a = 0.5) to forecast the demand for periods 4-11 PERIOD MONTH Demand Forecast Jan 89 2. Feb 151 89 3 Mar 60 120 4. Apr 107 May 131 9. Jun 140 7 Jul 71 8. Aug 94 sep 102 10 Oct 119 11 Nov

One of South Africa’s biggest highways is getting an upgrade – with traffic delays comingsooner than expectedThe South African National Roads Agency (Sanral) has announced that it will introduce traffic measures on the N3highway outside Pietermaritzburg earlier than expected as it begins major upgrade work.The agency said it will move to introduce a ‘contraflow’ traffic pattern between Camperdown and Dardanelles onthe N3 route from Wednesday evening (9 March).The route is seen as one of the country’s major arteries and is seen as essential to the flow of food and otheressential goods from the country’s biggest port in Durban to its most populous city Johannesburg.“Contraflow is a temporary arrangement where traffic on a road is transferred from its usual side to share the otherhalf of the carriageway with traffic moving in the opposite direction,” said Mohamed Parak, Sanral’s eastern regionproject manager. The upgrade to the highway is aimed at addressing which form of market failure?…

HW-15 (Please answer the given answer form) Problem 1: Determine the MSE based on the following forecast (Carry on up to two decimal points). 6 Month 1 234 Demand 22 11 18 10 17 Forecast 20 14 16 12 19 18 Problem 2: Consider the following demand data (Carry on up to two decimal points). Month Demand 22 11 18 10 a. Develop a forecast for Month 6 demand using a three-month moving average for given data. b. Develop a forecast for month 5 demand using Weighted Moving Average with w1-0.2 (February), w2=0.3 (March), and w3-0.5 (April). Problem 3: Consider the following time series data (Carry on up to two decimal points). Develop a forecast from Months 1 to 6 using exponential smoothing with for given data. (2 points) Month 1 2 345 Demand 220 110 180 100 170

Pls help with belwo homework.

i need 3 question solution other pic is just for reference of graph and this is LM and IS data   In goods market equilibrium, Y = C + I + G Y = 130 + 0.8(Y - 380) + 160 - 10r + 310  [as YD = Y - T] Y = 600 + 0.8Y - 304 - 10r 0.2Y = 296 - 10r Y = 1,480 - 50r...........(IS schedule) In money market equilibrium, Md = Ms 75 + 0.12Y - 10r = 195 0.12Y = 120 + 10r Y = 1,000 + 83.33r..........(LM schedule)

Note: please answer the need 7and,8

he price of bauxiteincreased to its highest level due to conditions which impacted supply. Historically, bauxite has traded at between 1500 and 1600 USD per tonne. But the price increased to over 1900USD in November 2020. Growing demand in Canada for bauxite to be turned into aluminium, coupled with a sharp fall in Jamaican production have both been factors in the price increase. Bauxite production in Jamaica for 2017-18 fell 65% year-on-year due to flood conditions causing damages as well as increased competition. The London Metal Exchange predicts that global consumption of bauxite is likely to be greater than production by 20 million tonnes next year. In the US, companies in the steel and petrol industry have put pressure on the US government to relax import controls, warning that otherwise they might run out of bauxite. Commentators predict that most steel and petrol producers will be unaffected because bauxite is such a small part of their spending. d. How might companies in the…

OE. They will save between the ages of 35 to 67. OF. They will dissave between the ages of 35 and 67.

Consider the quarterly demand levels for electricity (1000 megawatts) in Polokwane from 2015 to 2018. Quarter 2015 2016 2017 2018 Jan March 21 35 39 78 Apr- June 42 54 82 114 July- Sept 60 91 136 160 Oct- Dec 12 14 28 40 Using the third period moving average Determine the adjustment factor: O a) 1.000 b)0.828 c) 0.758 d) 0.799

Plz solve in 15 min it's urgent  a.) a shift from D2 to D1 in Figure A   b.) a shift from D2 to D3 in Figure A   c.) a shift from D2 to D1 in Figure B   d.) a shift from D2 to D3 in Figure B

Pls help me with this homework, I will upvote you…Pls answer in 7-8 sentence only…in simple words What is predictions for Television in the near and distant future ? Provide at least 2 examples on why and how you came up with this prediction.

ent-4.docx cetumentGrp Assignment 4. Saved to this Pd v Layout References Mailings A A™ | Aa- | Ap -I A. DA = = = |- |- B demand. daho Review if necessary. Paragraph View ENT Help For a particular video game, the company sells 160 (thousand) copies of the game when the (thousand) copies of the game. price of the game is $55. However, when they change the price to $45, the company sells 240 1 AaBhCcDdi AaBbCcDdi AalbC Đới 1 List Para... Normal 1 No Spac.... Styles a. As part of the process of finding the price elasticity of demand, what is the percent change in quantity using the midpoint method? Round your answer to 4 decimal places ECON 150: Microeconomics b. As part of the process of finding the price elasticity of demand, what is the percent change in price using the midpoint method? Round your answer to 4 decimal places if necessary. C. Using parts a and b, calculate the price elasticity of demand. Round your answer to 2 decimal places if necessary. Four

13. IfQ-KL2 the MP, is diminishing b. increasing constant d. not enough information to determine a. C.

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

Currently, the exchange rate is 100 yen per dollar. InJapan, we sell a product that costs $5 to produce for 700yen. The product has an elasticity of 3. For exchange ratesvarying from 70 to 130 yen per dollar, determine the optimalproduct price in Japan and the profit in dollars. Assume alinear demand curve. Current demand is assumed to equal100.

Discuss how you would conduct sales forecasting when working with government aganecy. Be sure to include considerations arising from the pandemic.

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.

3- If the slope is equal to 0.5 slop, then the amount of to. Note that 7 = xi elasticity at the point is equal yi=9 Ey =0.83 O Ey =0.45 O Ey =0.38 O

10 00 Interest Rate (%) N B Investment Demand 0 $30 60 90 120 150 Investment ($) Price Level Multiple Choice AS Real GDP ($) AD₁ (1=120) AD₂ (1=90) *AD3 (1=60) Refer to the graphs, in which the numbers in parentheses near the AD₁, AD2, and AD3 labels indicate the level of investment spending associated with each curve. All numbers are in billions of dollars. The interest rate and the level of investment spending in the economy are at point D on the investment demand curve. To achieve the long-run goal of a noninflationary, full-employment output Qfin the economy, the Fed should try to decrease aggregate demand by increasing the interest rate from 2 to 4 percent. decrease aggregate demand by increasing the interest rate from 4 to 6 percent. increase aggregate demand by decreasing the interest rate from 4 to 2 percent. increase the level of investment spending from $120 billion to $150 billion.

5. Exercise 5.5 A firm experienced the demand shown in the following table. Fill in the table by preparing forecasts based on a five-year moving average, a three-year moving average, and exponential smoothing (w = 0.9 forecasts may be begun by assuming Y t+ F Yt •) and w = 0.3 ). (Note: The exponential smoothing Moving Average Actual Demand (5-year) (3-year) Exponential Smoothing (W = 0.9) Year (W = 0.3) 2000 900 2001 885 900 900 2002 875 2003 870 887 ▼ 2004 870 877 ▼ 2005 875 880 872 Y 2006 885 875 872 2007 900 875 877 2008 920 880 887 - 2009 945 890 902 Y 2010 905 922 The following table shows the square errors, (Y; - T1-) , for forecasts from 2005 through 2009. Fill the table by calculating the root mean square error (RMSE) for each of the methods. Square Error Exponential Smoothing Moving Average Year (5-year) (3-year) (W = 0.9) (W = 0.3) 2005 25 9 25 25 2006 100 169 100 36 2007 625 529 256 361 2008 1,600 1,089 484 1,089 2009 3,025 1,849 729 2,304 RMSE Based on the RMSE criterion,…

Director Very Busy needs to allocate time this week for office appointments, so he needs to forecast the number of employees who will seek appointments. The director has gathered the following time series data recently Period Employee Appointments 4 weeks ago 95 3 weeks ago 80 2 week ago 65 last week 50

Help with this question thx

11- It is estimated that consumers will buy Q (p) 4,374 kg of imported beans per week when p2 the price is p$ per kg. It is estimated that t weeks from now, the price of this type of beans will be p(t) = 0.04t2 + 0.2t + 12 dollars per kg. a. Estimate the weekly consumer demand for the beans as a function of t. b. How many kg of beans will consumers buy 10 weeks from now?