this is a really long assignment and I need help
Question 1: Wendy's Happy Homes Inc manufactures Home Appliances. Monthly sales of Wendy's Washer...
Question 1: Wendy's Happy Homes Inc manufactures Home Appliances. Monthly sales of Wendy's Washers and Dryer Sets for a nine month period were as follows: MONTH Washer and Dryer Sales 490 480 450 500 480 470 490 520 530 January February March April May June July August September Forecast October sales using 1) A four-month moving average 2) a six-month moving average 3. Compute the MAD for each forecast method you used Actual October sales were 320 nits. 4) Which...
Consider the following gasoline sales time series data. Click onthe datafile logo to reference the data. Week Sales (1000s of gallons) 17 21 17 15 20 18 21 21 16 21 6 10 12 a. Using a weight of for the most recent observation, for the second most recent observation, and the time series (to 2 decimals). Enter negative values as negative numbers. third the most recent observation, compute a three-week weighted moving average for Forecast Weighted Moving Average Forecast...
Consider the following gasoline sales time series data. Click on the datafile logo to reference the data. Week Sales (1000s of gallons) 1 17 2 20 3 19 4 23 5 18 6 16 7 19 8 18 9 23 10 19 11 15 12 22 a. Using a weight of for the most recent observation, for the second most recent observation, and third the most recent observation, compute a three-week...
Problem 15-07 (Algorithmic) Refer to the gasoline sales time series data in the given table. 1 Week Sales (1000s of gallons) 17 2 20 21 11 14 22 a. Compute four-week and five-week moving averages for the time series. Round your answers to two decimal places. 4-Week 5-Week Moving Average Moving Average Week Sales 17 9 10 11 12 17 DE 23 21 C C 14 22 b. Compute the MSE for the four-week and five-week moving average forecasts. Round...
Consider the following gasoline sales time series data. Click on the datafile logo to reference the data 00s Week of gallons) 18 21 18 24 18 17 1S 17 21 10 11 16 21 12 a. Using a welight of for the most recent observation, for the second most recent observation, andthird the most recent observation, compute a three-week weighted moving averape for the time serles (to 2 declmals). Enter negative values as negative numbers. Weighted Moving Forecast (Error)2 Time-Series...
Problem # 1The monthly sales for Telco Batteries Inc. were as follows: SalesMonth (000 units)January 20February 21March 15April 14May 13June 16July 17August 18September 20October 20November 21December 23Plot the monthly sales data.Forecast coming January sales using each of the following:The naïve approachA 6-month moving averageA 6-month weighted average using 0.1, 0.1, 0.1, 0.2, 0.2 and 0.3, with the heaviest weights applied to the most recent months.Calculate the mean absolute deviation (MAD) and the mean squared error (MSE) for each of...
Forecasts and actual sales of MP3 players at Just Say Musicare as follows: Month Forecast Actual Sales March 150 170 April 220 229 May 205 192 June 256 241 July 250 238 August 260 210 September 270 225 October 280 179 a. Plot the data and show the plot using Excel, Word or PowerPoint. b. Provide insights about the time series c. What is the forecast for November, using a two-period moving average? Note also that the forecast values provided are irrelevant to computing these moving average forecasts. d. What is the forecast for November, using a three-period...
1. National Scan, Inc sells radio frequency inventory tags. Monthly sales for a seven-month period were as follows: Month Sales (000 units) Feb. 21 Mar. 20 Apr. 17 May 22 Jun. 20 Aug. 22 a. Plot the monthly data on a sheet of graph paper.b. Forecast September sales volume using each of the following: (1) The naive approach (2) A five month moving average (3) A weighted average using 60 for August, 30 for July, and. 10 for June (4) Exponential smoothing with a smoothing constant equal to.20, assuming a March-forecast of...
2. National Scan, Inc., sells radio frequency inventory tags. Monthly sales for a seven-month period were as follows: Sales (000 units) Month Feb. 19 Mar. 18 15 Apr. May 20 Jun. 18 Jul. 22 Aug. 20 a. Plot the monthly data on a sheet of graph paper. b. Forecast September sales volume using each of the following: (1) The naive approach (2) A five month moving average 3. Compute the multifactor productivity measure for each of the weeks shown for...
I just need help with those marked with a red X, and the last question thank you! Problem 15-08 (Algorithmic) Refer again to the gasoline sales time series data in the following table. Week Sales (1000s of gallons) a. Using a weight of 1/2 for the most recent observation, 1/3 for the second most recent, and 1/6 for third most recent, compute a three-week weighted moving average for the time series. Use rounded for two decimal places values for intermediate...