Seasonality of Bemand The company VID-CO-19 has manufactured swim suits for men, women, and children for 10 years. The company is located in Boston, Massachusetts. Swim suits have always had a higher demand during the months of April, May, June, July, August, and September. The demand has always been lower during the months of October, November, December, January, February, and March. The real demand, based on sales of year 20X1 is the following (it starts with December of the previous year): Period Bimester Demand Season Average December-January February-March 100 90 200 180 April-May June-July August-September October-November 3 900 910 3,000 4,000 2.100 4,900 300 350 VID-CO-19 has hired you as an Operations Management expert to help them to forecast demand for year 20X2 using the Linear Regression Method. What is the seasonal factor for Period 3 (April-May)? (write your answer rounded to two decimals)

Café Michigan's manager, Gary Stark, suspects that demand for mocha latte coffees depends on the price being charged. Based on historical observations, Gary has gathered the following data, which show the numbers of these coffees sold over six different price values: D Price $2.50 $3.40 $2.10 $4.30 $3.00 $4.10 Using simple linear regression and given that the price per cup is $1.75, the forecasted demand for mocha latte coffees will be cups (enter your response rounded to one decimal place). Number Sold 765 515 975 245 315 480

Define the MONITORING FORECAST ERROR?

ABC 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 a five-month moving average approach.

Forecasting with Linear Regression The company VID-CO-19 has manufactured swim suits for men, women, and children for 10 years. The company is located in Boston, Massachusetts. Swim suits have always had a higher demand during the months of April, May, June, July, August, and September. The demand has always been lower during the months of October, November, December, January, February, and March. TETT The real demand, based on sales of year 20X1 is the following (it starts with December of the previous year): Period Bimester Demand Season Average December-January February-March 1 100 90 2 200 180 3 April-May June-July August-September 900 910 4 3,000 2,100 4,000 4,900 October-November 300 350 VID-CO-19 has hired you as an Operations Management expert to help them to forecast demand for year 20X2 using the Linear Regression Method. What is the TOTAL "seasonalized" or "deseasonalized' forecasted demand for Quito-Ecuador in year 20X2? (write your answer rounded to two decimals)

The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: August 31 September 7 September 14 Week Of September 21 September 28 October 5 Week Of a) The forecasted demand for the week of October 12 using a 3-week moving average = pints (round your response to two decimal places). pints (round your b) Using a 3-week weighted moving average, with weights of 0.10, 0.35, and 0.55, using 0.55 for the most recent week, the forecasted demand for the week of October 12 = response to two decimal places and remember to use the weights in appropriate order the largest weight applies to most recent period and smallest weight applies to oldest period.) c) If the forecasted demand for the week of August 31 is 350 and x = 0.25, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of October 12 (round your responses to two decimal places). August 31 September 7 September 14…

In January a battery dealer pridicts February demand of 2000 2 charger battery whereas the actual demand was 1756 unit of batteries , using a smoothing constant of alpha 0.34, the dealer wishes to forecast the march demand using the exponential smoothing model ?

Why is it important to understand leadership as an active process towards a purpose of change?

Using linear regression analysis, what would you estimate demand to be for each month next year? Month Forecast January February March April May June July August September October November December

Among the following forecasting techniques, which one utilizes both past time period forecast and past time period actual demand to calculate the forecasted demand? Weighted Moving Average Simple Moving Average Naive Method Exponential Smoothing