Use regression analysis and seasonal indexes to forecast this summer's demand. (Do not round Intermediate calculations. Round your answer to the nearest whole number.) Forecast for this summer's demand
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- Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4The following are historical demand data: YEAR SEASON ACTUALDEMAND 2 years ago Spring 205 Summer 151 Fall 379 Winter 560 last year Spring 481 Summer 268 Fall 679 Winter 959 Use regression analysis on deseasonalized demand to forecast next summer’s demand. (Round your answer to the nearest whole number.)The following are historical demand data: YEAR SEASON ACTUAL DEMAND 2 years ago Spring 205 Summer 140 Fall 375 Winter 575 last year Spring 475 Summer 275 Fall 685 Winter 965 Use regression analysis and seasonal indexes to forecast this summer’s demand. Note: Do not round intermediate calculations. Round your answer to the nearest whole number.
- Apply the 3-years moving average method to forecast the required demand for the year 2021from the following historical data.Years 2012 2013 2014 2015 2016 2017 2018 2019 2020Demand 245 325 300 350 295 400 450 380 500Given the following data for demand at the XYZ Company, calculate the monthly forecast for 2003 using a 3-month moving average. Calculate the Forecast, Error, MAD (mean absolute percentage error), Bias and the TS (tracking signal) .Consider the following data:Monthly Profit of a Gym: Month & Profit: Jan-12: 5700 Feb-12: 5453 March-12: 5034 April-12: 4717 May-12: 5185 June-12: 5638 July-12: 6519 Aug-12: 6182 Sept-12: 5913 What are the MAD, MSE and MAPE scores for the three-period weighted moving average forecast? Round any intermediate calculations, if necessary, to no less than six decimal places, and round your final answer to one decimal place. MAD: MSE: MAPE as %: link to excel sheet for forumla to assist: http://www.livebinders.com/play/play?id=2368073
- The demand and forecast information for the XYZ Company over a twelve-month period has been collected in the Microsoft Excel Online file below. Use the Microsoft Excel Online file below to develop forecast accuracy and answer the following questions. Forecast Accuracy Measures Period Actual Demand Forecast Error Absolute Error Error^2 Abs. % Error 1 1,300 1,378 2 2,000 1,676 3 1,800 1,974 4 1,700 2,272 5 2,300 2,570 6 3,800 2,868 7 3,200 3,166 8 3,100 3,464 9 3,900 3,761 10 4,600 4,059 11 4,200 4,357 12 4,300 4,655 Total Average RSFE MAD MSE MAPE Tracking Signal 1. What can be concluded about the quality of the forecasts? Assume that the control limit for the tracking signal is ±3. The results indicate (bias or no bias) in the…The problem is based on the following data given. Observations of the demand for a certain part stocked at a parts supply depot during the calendar year 2013 were ( as shown ). Using a four-month moving average, determine the two-step-ahead forecast for July through December 2013. (Hint: The two-step-ahead forecast for July is based on the observed demands in February through May.)Given the following data and seasonal index: Month Sales Year 1 Year 2 Jan 8 8 Feb 7 9 Mar 5 6 Apr 10 11 May 9 12 June 12 16 July 15 20 Aug 20 25 Sept 4 4 Oct 3 2 Nov 8 7 Dec 9 9 (a) Compute the seasonal index using only year 1 data. (b) Determine the deseasonalized demand values using year 2 data and year 1's seasonal indices.
- Given the following demand for ten-period time frame as shown in the table below. Compute the three-period and five-period moving average forecasts. Plot the actual demand and the forecasts on the same graph. Period 1 2 3 4 5 6 7 8 9 10 Demand (in units) 24 25 28 32 35 38 41 46 49 53 Forecast Table: Period Actual 3-Moving Averages 5-Moving Averages 1 24 2 25 3 28 4 32 5 35 6 38 7 41 8 46 9 49 10 53 11Observations of the demand for a certain part stocked at a parts supply depot during the calendaryear 2013 were: Month Demand Month Demand Jan 89 july 223 Feb 57 august 286 mar 144 sept 212 april 221 oct 275 may 177 nov 188 june 280 dec 312 a) Using a four-month moving average, determine the one-step-ahead forecast for Julythrough December 2013.b) Using a four-month moving average, determine the two-step-ahead forecast for Julythrough December 2013.c) Obtain the MAD for the forecasts obtained in the above sections. Which method gavebetter results? Based on forecasting theory, which method should have given betterresults?The customer demand for a particular smart phone during Year 0 to Year 5 is given as 1,056,000, 1,032,000, 1,093,000, 1,024,000, 1,066,000, and 1,072,000. Using the Holt forecasting model with trend, what is the forecasted demand in year 10, where w = 0.4 and v = 0.5?a) 1,071,874b) 1,075,573c) 1,077,488d) 1,083,816