The department manager is using a combination of methods to forecast sales of toasters at a local department store. The demands are shown in the table below. Use two decimals in your answer. Week Actual Demand 1 24 30 3 32 4 35 40 43 Using weights of 0.50, 0.30, 0.20, Calculate the weighted three-week moving average for week 6 29.80 O 33.10 O 36.90 40.50

The manager of Redline Trucking believes that the demand for tires used on his trucks is closely related to the number of miles driven. He has collected the following data covering the past four months. Month 1 2 3 4 Tires Used 100 150 120 80 Miles Driven 15,000 20,000 17,000 11,000   Write an algebraic equation forecasting the demand for tires. Indicate and explain the independenet and dependant variables and the parameters used in your equation.

The actual number of patients at Moncton Medical Clinic for the first six weeks of this year follows: Week 1 2 3 4 5 6 Actual No. of Patients 65 68 76 59 66 73 Clinic administrator Marc Schniederjans wants you to forecast patient numbers at the clinic for week 7 by using this data. You decide to use a weighted moving average method to find this forecast. Your method uses four actual demand levels, with weights of 0.333 on the present period, 0.250 one period ago, 0.250 two periods ago, and 0.167 three periods ago. a) What is the value of your forecast? The value of the forecast is patients (round your response to two decimal places).

Actual demand for a product for the past three months was: Three months ago 400 units Two months ago 350 units Last month 325 units Using a simple three-month moving average, make a forecast for this month. Note: Round your answer to the nearest whole number.   If 300 units were actually demanded this month, what would your forecast be for next month, again using a three-month moving average? Note: Round your answer to the nearest whole number.   Using simple exponential smoothing, what would your forecast be for this month if the exponentially smoothed forecast for three months ago was 450 units and the smoothing constant was 0.20? Note: Round your answer to the nearest whole number.

XYZ Chips Inc. (XCI) produces Centrino-type chips. The market has been inclining with ups and downs during the last eight years because of its new chips. The demands over the last 12 periods were 95, 115, 130, 122, 105, 125, 140, 134, 125, 142, 160, and 153 thousand pieces. Forecast the demand for the next 4 periods (periods 13 to 16) using an appropriate forecasting technique.

Below is a table containing data on product demand for the most recent five months along with the forecasts that had been made for those 5 previous months. Use the 3-period simple moving average method to forecast the number of sales to expect next month. Month Demand Forecast 1 308 341 388 343.3 3 344 364.7 4 400 346.7 341 377.3

The following table shows the actual demand observed over the last 11​ years:                                                                                                                                             Year 1 2 3 4 5 6 7 8 9 10 11 Demand 8 8 4 9 12 7 11 14 9 13 8 Part 2 Using exponential smoothing with α ​= 0.50 and a forecast for year 1 of 7.0​, provide the forecast from periods 2 through 12 ​(round your responses to one decimal​ place).   Year 1 2 3 4 5 6 7 8 9 10 11 12 Forecast 7.0 enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here

Solve b parts

Sunrise is planning its purchases of ingredients for bread production. If bread demand had been forecast for last week at 22k loaves & only 21k loaves were actually demanded, what would Sunrise’s forecast be for this week using exponential smoothing with α = 0.10?

Sales of tablet computers at Marika Gonzalez's electronics store in Washington, D.C., over the past 10 weeks are shown in the table below: Week Demand 1 20 2 20 Week 1 Demand 20 Forecast 20.0 3 29 4 37 4 37 5 24 2 3 29 20 6 30 7 8 37 24 a) The forecast for weeks 2 through 10 using exponential smoothing with a = 0.55 and a week 1 initial forecast of 20.0 are (round your responses to two decimal places): 5 6 30 24 7 37 9 24 8 24 10 28 9 24 10 28