Plot the demand data. What do you observe? Forecast XR-42S demand for month 7, using a weighted moving average. The weights are 0.5, 0.3, and 0.2, where 0.5 refers to the most recent demand. а. b. С. Repeat part b using a three period moving average.
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Given data -
Month | Number of lenses sold |
1 | 12 |
2 | 17 |
3 | 15 |
4 | 20 |
5 | 18 |
6 | 23 |
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- The following table shows the three-period moving average and five-period moving average for monthly sales of Budget Furniture's during 2019. Moving averages of Budget Furniture's Time period Months Sales Three-period moving average (rounded off to Five-period moving average four decimals) R'millions 1 Jan 7 5.0000 6.2 February 5.6667 6.6 March 5 7.0000 B 4 April 8.3333 8.2 May 7 9.3333 8.4 June 8.3333 9.6 7 July 12 8.6667 9.6 August 4 A 9.2 September 10 10.6667 10 October 13 10.6667 11 November 9 12 December 10 The seasonal index for the month of February in 2019 is: LOYear Season Sales 2018 Winter 40 2018 Spring 29 2018 Summer 31 2018 Fall 40 2019 Winter 102 2019 Spring 87 2019 Summer 96 2019 Fall 132 2020 Winter 105 2020 Spring 93 2020 Summer 105 2020 Fall 117 2021 Winter 141 2021 Spring 39 2021 Summer 114 2021 Fall 123 What is the slope of the trend equation obtained by linear regression? Round to two decimal digits. What is the intercept of the trend equation obtained by linear regression? Round to two decimal digits. What is the seasonal index for Spring? Round to two decimal digits. The quarter number for Winter of 2018 is 1. What is the quarter number for Spring of 2025? What is the trend based forecast for Spring of 2025. Round to a whole number. What is the seasonally adjusted trend based forecast for Spring of 2025? Please do not use excel to find the slope and intercept, thank you so much!The following table shows the past two years of quarterly sales information. Assume that there are both trend and seasonal factors and that the seasonal cycle is one year. QUARTER SALES 1 215 2 240 3 205 4 190 5 160 6 195 7 150 8 140 Use regression and seasonal indexes to forecast quarterly sales for the next year. Note: Do not round intermediate calculations. Round your answers to 1 decimal place.
- Outlet All Sales Tortilla Sales Madre's Tortilla Stocked Padre's Tortilla Stocked Store 1 $100,000 $1,000 Yes Yes Store 2 $75,000 $500 Yes Yes Store 3 $50,000 $300 Yes No Store 4 $40,000 $400 No Yes Weighted Distribution or Product Category Value (PCV) Distribution (%) Numerical 4: The marketers at Madre's Tortillas want to know the Product Category Value or Weighted Distribution (%) of their distribution network. How much is it?FOR THIS QUESTION PLEASE REFER TO 3rdTABLEwhich of the following would be calculated variable from other data: 1. Product Sales Price 2. Product availability 3. Coupon Availability 4. Average Customer ratingYear Sales 1) 123 2)118 3) 109 4) 112 5) 100 6) 110 7) 124 8)Determine the demand in Year 8 using a 3-month moving average using the sales table. Use weights of 0.40, 0.30 and 0.30
- The American Baker's Association reports that annual sales of bakery goods last year rose 15 percent, driven by a 50 percent increase in the demand for bran muffins. Most of the increase was attributed to a report that diets rich in bran help prevent certain types of cancer. You are the manager of a bakery that produces and packages gourmet bran muffins, and you currently sell bran muffins in packages of three. However, as a result of this new report, a typical consumer's inverse demand for your bran muffins is now P= 11 -15Q If your cost of producing bran muffins is C(Q) = 3.5Q, determine the optimal number of bran muffins to sell in a single package and the optimal package price. Instructions: Enter your response for the optimal package price rounded to two decimal places. Optimal package size: Optimal package price: $ unitsABC Inc. sells patio sets. Monthly sales for a seven-month period were as follows: Month Sales (000) Unites Feb 19 Mar 18 Apr 15 May 20 Jun 18 Jul 22 Aug 20 Forecast September sales volume using the naive approach.A newly operated company producing household items would want to forecast its sales volume for the next month. It has been in operation for ten (10) months now. For the past ten (10) months, forecast and sales data for its top selling Item A are as follow: Time Period Forecasted Value Actual Sales (Quantity) 10th month 405 345 9th month 400 380 8th month 410 400 7th month 370 375 6th month 330 360 5th month 320 325 4th month 320 315 3rd month 305 300 2nd month 290 295 1st month 300 280 The operations manager observes the fluctuations on the sales quantity over the 10-month period that the company is in operation. To forecast for the 11th month, the team decided to evaluate options on what forecasting method to use. Their options are: To use the Moving Average Method using the sales data for the past 10 months, To use the Exponential Smoothing Average assigning a smoothing constant of .6 and To use the Trend-adjusted Exponential Smoothing assigning smoothing constants α =…
- Find the EAR in each of the following cases: Stated Rate (APR) Number of Times Compounded 7% Quarterly16 Monthly11 Daily12 InfinitePlease do not give solution in image formate thanku. Bradley's Copiers sells and repairs photocopy machines. The manager needs weekly forecasts of service calls so that he can schedule service personnel. Use the actual demand in the first period for the forecast for the first week so error measurement begins in the second week. The manager uses exponential smoothing with α = 0.5 Forecast the number of calls for week 6, which is next week. WEEK ACTUAL SERVICE CALLS 1 28 2 32 3 40 4 27 5 301) Describe a scenario that you have encountered recently as a consumer where a business has either under forecast or iver forecast demand for a product that you were planning to purchase. You will generally notice under forecasting if the product is out of stock or over forecasting if there is excess inventory for the item. Describe the imolications to the retailer,manufacturer, and broader supply chain. You can present your response through thr lens of your own discpline (accounting,mafketing,etc.) if you wish. 2) Give three examples from your life in which you may forecast the future. Highlight the importance of accurate forecasting in the three examples you provide.