MBA 580 Module 2

New Accounts New Accounts Period 200 232 11 214 248 12 211 250 13 228 253 14 5 235 10 267 15 Using linear regression, what is your forecast for period 16? Less than 300 Between 301 and 308 Between 309 and 350 Period 1 2 3 4 O Higher than 350 Period 6 7 8 9 New Accounts 281 275 280 288 310

Choose the correct option and answer: 1) In which of the following circumstances is godown is not required to store the goods ? a) Seasonal Demand b) customized production c) Perishable goods d) Raw material-seasonal 2) Which service is most beneficial in coastal area ? a) Daily service b) Ferry service c) private service d) tourism service 3) Which of the following is not included in non-financial transactions done by bank ? a) to give bank statement b) cheque book issue c) issue pass book d) issue demand draft 4) What does bank do to pay the money whose name is written in draft ? a) Orderr b) Instruct c) request d) insist 5) What is required for online sale,banking and transportation ? a) B2B b) B2C c) C2B d) C2C

(b) Demand history of five different products of a company is shown below. Products 2012 2013 2014 2015 2016 2017 2018 2019 2020 A 37 40 41 45 49 26 34 30 26 23 33 28 32 C 58 55 32 38 45 56 62 70 77 86 95 83 88 81 92 85 i. Name the methods that is suitable to forecast the demand of the above five products? ii. Forecast demand of the product B or D with error for the year 2021. If you need a value of a then consider it 0.7.

If ABC Corporation has following historical data about sales volume:  Years Sales Years Sales Years Sales Years Sales 2001 110 2006 99 2011 100 2016 110 2002 112 2007 101 2012 104 2017 111 2003 122 2008 95 2013 108 2018 109 2004 111 2009 98 2014 102 2019 114 2005 104 2010 96 2015 115 2020 112 Note: All the sale values are in thousands. Required: Which type of forecasting approach is suitable for this type of data? Which forecasting technique is best to employ in order to forecast the above data? And also define the suggested technique. Calculate the predicted values by employing the discussed technique in part (b) on the above data.

Alt Degree Assignment January-June Bebeware Open Universby All Gr Special/ Supplementary Structured Timed BMK722-Principles of Marketing 7. A specialty store is A. A store that carries a narrow products line with a deep assortment B. Any store that carries standardized merchandise and sold at lower prices with lower margins and higher volumes C. A store that sells merchandise bought at less than regular wholesale prices and sold at less than retail D. A store that carries several product lines 8. Segmented pricing is A. Promotional money paid by manufacturers to retailers, in return to agreement to feature the manufacturer's products in some way B. Prices that buyers carry in their minds and refers to when they look at given product C. Selling a product or service at two or more prices, where the difference in prices is not based on differences in costs D. None of the above 9. Which of the following is not one of the steps in the new product development process? A. Idea generation B.…

Assuming the following deseasonalized demand, what would your Level and Trend FORECAST factors be for future deseasonalized demand estimates? (Hint, you might want to use excel for this) period 1 2 3 4 5 6 7 8 9 10 13673 6640 2737 3486 141 13186) 5448 3485 7728 16591 8236 3316 855358 11 12 13 15 16 17 18 19 Demand Deseasonalized D₁ Demand D 3200 7658 4420 2384 3654 8680 5795 1953 4742 20 4472 4657 4956 5074 5157 5917 6646 6850 6791 6573 6363 6308 6932 7887 8662 8989 O Level-4696 Trend-343 O Level-3612. Trend-264 O Level 3629; Trend-263 O Level-2528: Trend-185

Suppose that AlwaysRain Irrigation’s marketing department will undertake an intense ad campaign for the bronze sprinklers, which are more expensive but also more durable than the plastic ones. Forecast demand for the next four years is:   YEARLY DEMAND 1 (IN 000s) 2 (IN 000s) 3 (IN 000s) 4 (IN 000s) Plastic 90 32 44 55 56 Plastic 180 15 16 17 18 Plastic 360 50 55 64 67 Bronze 90 11 15 18 23 Bronze 180 6 5 6 9 Bronze 360 15 16 17 20 Both production lines can produce all the different types of nozzles. The bronze machines needed for the bronze sprinklers require two operators and can produce up to 12,000 sprinklers. The plastic injection molding machine needed for the plastic sprinklers requires four operators and can produce up to 200,000 sprinklers. Three bronze machines and only one injection molding machine are available. Required: What are the capacity implications of the marketing campaign? (Assume that there is no learning.) In anticipation of the ad…

Q5. Discuss the Internet marketing possibilities for the product/service in Amazon retail company? Q6. Discuss the use of social media in the marketing of the product/service in Amazon retail company?

QUESTIONS: Quarterly demand for a washing machine is as shown. 1. After obtaining initial estimates for level, trend, and seasonal factors. forecast the demand for the first quarter of year III using Winter's model with a 6- - 0,25 where x is the last two digits of your student number. 2. Make a tracking signal analysis for the forecast and evaluate Maks Year I II Quarter 1 2 3 4 1 2 3 4 Demand 1900 1224 4000 5600 4800 1048 6200 8000

Q29 please help me!!

Month Demand Forecast Error Abs Error alpha 1 20 2 18 3 21 4 25 5 24 6 27 7 22 8 30 9 23 10 20 11 29 12 22 Mean Bias MAD (mean error) Problem 6: Maverick Jeans' demand manager decided to evaluate exponential smoothing. To maintain com- parability, she used the data from problem 6, copied below. 1 Month 2 3 Demand 20 18 21 25 4 5 24 6 7 8 9 10 11 12 27 22 30 23 20 29 22 Develop forecasts for months 5-12. Calculate the Bias and MAD. Use a starting forecast of 20 for month 4 and an alpha value of 0.2. (Note: Adjust all cell values to two decimal points.)

tions Management Spring21 Time left 0:30:19 Qui The sales of XYZcompany for the previous three periods are 45, 42, and 43 respectively. Estimate the sales of the fourth period by exponential smoothing with 0.5. Use naïve as a starting/initial forecast (Round to 2 decimals) O a. 42.8 O b. 41 Mar O C. None is correct 12- O d. 43.25 O e. 41.92 S PAGE NEXT PAGE Finish TOSHIBA F11 F17 F9 F10 F6 F7 F8 F5 F3 F4 60 AH

Answer the given question with proper explanation and step by step solution.

Year 1 Demand Year 2 Demand Year 3 Demand 1 12 1 16 1 14 45 25 32 3 76 52 3 71 84 4 4 62 4 47 a. Determine the seasonal factors for each quarter. b. Based on the result of part (a), determine the deseasonalized demand series. c. Predict the demand for each quarter of Year 4 for the deseasonalized series from a six-quarter moving average. d. Using the results from parts (a) and (c), predict the demand for the shoes for each quarter of Year 4.

I just need the first 3 please  (:

please answer in 30 mins. answer if 100% sure.

2G MTN Zambia ll 78% 3:30 PM < OperationsManagement_HW1.. 4.12 Consider the following actual and forecast demand lev- els for Big Mac hamburgers at a local McDonald's restaurant: Day Actual Demand Forecast Demand Monday Tuesday Wednesday Thursday Friday 88 88 72 88 68 84 48 80 The forecast for Monday was derived by observing Monday's demand level and setting Monday's forecast level equal to this demand level. Subsequent forecasts were derived by using exponen- tial smoothing with a smoothing constant of 0.25. Using this expo- nential smoothing method, what is the forecast for Big Mac demand for Friday? Px Download- (1.009 9KB) Comments (0) Send More

Part C Exponential Exponential Gasoline Demand Gasoline Month smoothed forecast smoothed forecast Exponential smoothed forecast (a = 0.25) Demand (a = 0.25) (a = 0.45) Exponential smoothed forecast (a = 0.45) Mar 900 920 920 1200 Apr May 755 915.00 911.00 1100 1000 650 875.00 840.80 g20 915.00 846 80 755 818.75 754.94 904.76 835.12 Jun 550 818.75 754.94 800 320 751.56 66272 645.74 746.83 Jul 625 751.56 662.72 650 600 550 Aug Sep 730 719.92 645.74 820 722.44 683.66 400 D Oct 1100 746.83 745.01 200 1 Nov 835.12 904.76 Mar Apr May Jun Jul Aug Sep Oct Nov 1. Make a comparative analysis out of your answers in the plotted data. (3-5 5 sentences)

Q-4: Define and briefly explain the following methods of demand estimation with examples from the real world? a) Consumer Surveys b) Consumer Clinics c) Market Experiments

b. Given the demand and forecast values shown in the following Table Q3b, i.Determine the three-period moving average forecast for November. ii. Analyze the exponential smoothing forecast for November using a = 0.35. iii. Evaluate the forecast error for September.

Student Portal | Main BUS-660 Topic 1 DQ 1 /ilm/takeAssignment/takeAssignmentMain.do?invoker=&takeAssignmentSessionLocator=&inprogress=false eBook X X State of Nature Decision Alternative Strong Demand S₁ Weak Demand S₂ Small complex, d₁ 7 6 Medium complex, d₂ 12 6 Large complex, d3 19 -9 CengageNOWv2 | Online teachin X MindTap-Cengage Learning Problem 4-11 (Algorithmic) Following is the payoff table for the Pittsburgh Development Corporation (PDC) Condominium Project. Amounts are in millions of dollars. x + A million, the large complex remains the best decision. 30 G Suppose PDC is optimistic about the potential for the luxury high-rise condominium complex and that this optimism leads to an initial subjective probability assessment of 0.8 that demand will be strong (S₁) and a corresponding probability of 0.2 that demand will be weak (S₂). Assume the decision alternative to build the large condominium complex was found to be optimal using the expected value approach. Also, a…

Please answer all three subparts with explanation. I will really really upvote. Thanks

Ma3.

part c

Question content area Part 1 Sales of​ Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years​ (see table​ below).                                                      Year Sales 1 450 2 510 3 516 4 555 5 575 Part 2 ​a) Forecasted sales for year 6 using the trend projection​ (linear regression) method are   enter your response here sales ​(round your response to one decimal​ place). Part 3 ​b) The MAD for a linear regression forecast is   enter your response here sales ​(round your response to one decimal​ place). Part 4 ​c) The MSE for the linear regression forecast is   enter your response here sales ​(round your response to one decimal​ place).

Part B Three-period Four-period Units Units Demanded Period weighted moving weighted moving Demanded Three-period weighted moving average forecast average forecast average forecast Four-period weighted moving average forecast 24 2 25 60 28 50 49 S50 4 32 26.33 46 4.90 39,80 40 41 5 35 29.50 28.6 38 35 38 32.83 31.7 30 32 28 25 26,93 250 es 7 41 36.00 34.9 24 20 8 46 39.00 38 49 43.00 41.8 10 10 53 46.67 45.4 50.50 49.2 1 2 3 4 5 6 7 8 9 10 11 1. Make a comparative analysis out of your answers in the plotted data. (3-5 sentences)

A forecast for the first six months of the year revealed a tendency to underpredict the actual demand for the revitalized Hubig’s Pies plant in the Marigny.   Month Actual Forecast January 675 600 February 720 700 March 640 620 April 510 495 May 480 410 June 565 535   What is the MAD of this forecast?   a. 38.33   b. 64.11   c. 55.79   d. 71.89

What is Use a naive method to make a forecast?

Scenario 1 | New Hybrid Cultures Will Develop and Personal Horizons Will Broaden Scenario 2 | Although the Outward Expressions of National Culture Will Continue to Become More Homogeneous, Distinct Values Will Tend to Remain Stable Scenario 3 | Nationalism Will Continue to Reinforce Cultural Identity Scenario 4 | Existing National Borders Will Shift to Accommodate Ethnic Differences   Identify  the cultural scenario that is the most credible—that is, the forecast that you see most likely to prove accurate in the next decade. Why?

Answer using irac method  Question 3   The Unemployment Program of the Government of Guava Land has several offices throughout the country, ten (10) to be specific. At these offices, all the administrative matters of the Program are administered, inclusive of payments to suppliers, payroll and Information Technology services. There are several assets and confidential data on each compound such as computer equipment, filing cabinets, personal data and several pieces of furniture.   Within recent times, there were numerous burglaries’ at a number of locations, which resulted in the loss of two million dollars’ worth in items. The Police are currently undertaking an investigation to catch the culprits.   The Minister, who is responsible for the Program, has mandated the Program to procure security services for one year at each location. After a highly competitive procurement process, Big Trouble Security Services secured the contract to provide security services at all the locations.…