actual demand of a product in 2020 4300 units and the exponential smoothing method forecasts 4200 and 4170 units for 2020 and 2021, respectivelythen the smoothing constants (percentage) is
Q: After plotting demand for four periods, an emergency room manager has concluded that a…
A: Given data is TAF for fifth period = 250
Q: Weekly sales of copy paper at Cubicle Suppliers are in the table below. Compute a three- period…
A: This question is related to the topic -Forecasting and this topic would fall under the business…
Q: Given an actual demand of 103, a previous forecast value of 99, and an alpha of .4, the exponential…
A: Forecast using the exponential smoothing method: Demand for current period = 103 Forecast for…
Q: In exponential smoothing, if ɑ = 0.3, then the damping factor for use in forecasting should be: *…
A: Exponential smoothing is a forecasting method which identify the forecasting value using the…
Q: Which of the following smoothing constant would make an exponential smoothing forecast equivalent to…
A: alpha of 1.0 leads to an exponential smoothing forecast similar to a naive forecast.
Q: Simple exponential smoothing with a 5 0.3 is being used to forecast sales of digital cameras at…
A: Given Smoothing constant a=0.3 Forecast for September = 100 cameras Sales in September = 120 cameras
Q: Apply the appropriate forecasting tools and techniques in predicting product demand using OM…
A: Demand forecasting is the assessment of likely future demand for an item or administration. The term…
Q: a. A linear trend equation. b. A four-month moving average. C. Exponential smoothing with a…
A: Since you have posted a question with multiple sub-parts, we will solve the first three subparts for…
Q: Which of the following is a pitfall of using a customer’s forecasts? Customers forecast process not…
A: Customer forecast refers to the most ongoing rolling volume predictions or forecasts for the…
Q: A company has an unbiased forecast for its demand. What does that mean?a. All forecast errors are…
A: Forecasting is the procedure of prediction making for the future grounded on past as well as present…
Q: Using the exponential smoothing forecast, is it possible to forecast a demand that isbigger than any…
A: Exponential Smoothing:- Like the past 2 techniques, guileless and moving midpoints, the dramatic…
Q: Forecast accuracy decreases with the long range forecast. True or False? Explain
A: Forecasting is a technique of predicting future events based on historical data and projecting them…
Q: A supermarket has experienced weekly demand of milk of D1 = 120, D2 = 127, D3 = 114, and D4 = 122…
A: Note: I have answered for 1st question. Kindly post the second question separately. Compute forecast…
Q: What is the basic difference between a weighted moving average and exponential smoothing?
A: A Weighted moving average is a quantitative prediction technique tool used to foresee the price or…
Q: A company's annual profits have a trend line given by Y = 10,000t + 5,000, where Y is the trend and…
A: Calculation of expected profit is as follows: In an additive model the time series is expressed as:…
Q: Compute the weighted average forecast using the following weights: 0.20, 0.30, 0.10, and 0.40
A:
Q: is based on the principle of using only the last observation in a sequence of stable data as a…
A: Option C is correct. The naive forecast is based on the principle of using only the last observation…
Q: 1. A forecaster must decide on the value of this factor before he can use the simple moving average…
A: Since you have asked multiple questions, we will solve the first question for you. If you want any…
Q: Two different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottled…
A: Mean Absolute Deviation (MAD) is one of the measures used to summarize historical errors in…
Q: 2-The correlation between rate and base are called the dynamic forecast. Select one: O True O False
A: Correlation is described as the relationship that exists between two different variables…
Q: orecast demand for each week, including week 10, using exponential smoothing with a 5 .5 (initial…
A: Exponential smoothing is forecasting method which identifying the farecasting value based on the…
Q: What are her forecasted sales for year 8 using a 3 year moving average? What are her forecasted…
A: Since you have posted a question with multiple sub-parts, we will solve the first three subparts for…
Q: The forecast for the month of November was higher than the actual demand and the forecast for the…
A:
Q: exponential smoothing with a smoothing constant equal to .20, assuming a March forecast of 19(00).
A: To find Exponential smoothing with a smoothing constant equal to .20, assuming a March forecast of…
Q: Thus historical demand for periods is 70, 60, 80 , and respectivelyWhat is the two-period weighted…
A: Using the 2 period weighted moving average method F(5) = 0.5*Actual (4) + 0.5*Actual(3) = 0.5*90 +…
Q: Period Demand 1 40 2 40 3…
A: Assessing strategy in which the last time frame's actuals are utilized as this present period's…
Q: When a product is new and there is no historical data, the most promising method to forecast this…
A: For forecasting a new product with no historical data, Analogy is the most promising method.
Q: Three popular measures of forecast accuracy are: average error, median error, and maximum error.…
A: The accuracy of the forecast can be determined by comparing the actual or real values with the…
Q: Consider the following time series data: Month Value 24 13 20 12 19 23 15 a.…
A: Given data is
Q: The Holt method (exponential smoothing with trend andwithout seasonality) is being used to forecast…
A: Compute the new base estimate: Hence, the new base estimate is 48.2.
Q: Which time-series forecasting method works best if the company assumes that product demand will…
A: Forecasts are a basic input in the decision processes of operations management because they provide…
Q: Given the Exponential Smoothing Method, Actual Demand alpha = .25 and Forecast Demand alpha = 0.75,…
A: The formula for forecast using the exponential smoothening method.
Q: Plot these forecasts AND the original demand data on graph paper or spreadsheet. Use a key to…
A: Find the given details below: Given details: Period Original Demand 3 Months Moving average 5…
Q: In January, a car dealer predicted February demand for 150 Honda Accord. Actual February demand was…
A: The forecast value for March at 0.20 smoothing constant is 152.6. The forecast value for March at…
Q: The forecast for the month of March considering smoothing coefficient as 0.75 is.....
A: Exponential smoothing is a forecasting method for a data with 1 variable that can be used to…
Q: Given the Exponential Smoothing Method, Actual Demand alpha = .25 and Forecast Demand alpha = 0.75,…
A:
Q: The manager of the Carpet City outlet needs to make an accurate forecast of the demand for Soft Shag…
A: Forecasting is very crucial for any business and nowadays businesses are surviving because of…
Q: Given the actual demand of 300, the previous forecast of 300, and an alpha of 0.048 , which one of…
A: The actual demand =300 The previous forecast = 300 Alpha = 0.048
Q: The forecast for Monday was derived by observing Monday's demand level and setting Monday's forecast…
A: WE ARE GIVEN WITH ACTUAL DEMAND AND FORECAST DEMAND OF MONDAY TO THURSDAY. WE ARE TO FIND FORECAST…
Q: Use trend-adjusted exponential smoothing to forecast the firm’sAugust income. Assume that the…
A: Given Initial forecast=65000Initial trend = 0So regression equation in standard form Y=mX+C can be…
Q: Using the latest observation in a sequence of data to forecast the next period is a. a naive…
A: Find the answer below: The Correct answer is a) a naïve forecast
Q: What advantages does adjusted exponential smoothing have over a linear trend line for forecasted…
A: Adjusted exponential smoothing is a forecasting methodology that employs measurable and historical…
Q: The following table shows predicted product demand using your particular forecasting method along…
A: From the above given information, we have to compute the tracking signal of each period using the…
Q: Emergency calls to Winter Park, Florida’s 911 system, for the past 24 weeks are as follows: Compute…
A: Below is the solution:-
Q: Given an actual demand this period of 105, a forecast value for this period of 100, and an alpha of…
A: n exponential smoothing forecast, Next forecast = Previous forecast+α(Actual-Previous forecast)
Q: The Victory Plus Mutual Fund of growth stocks has had the following average monthly price for the…
A: Note: - Since we can answer only up to three subparts we will answer the first three(1, 2, and 3)…
Q: Using the double exponential smoothing forecast, is it possible to forecast a demand thatis bigger…
A: Forecasting is a prediction method that can use historical data and current market trends and…
Step by step
Solved in 2 steps
- The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels. Management is trying to decide whether direct labor hours (DLH) or units produced is the better measure of activity for the firm. Monthly data for the preceding 24 months appear in the file P13_40.xlsx. Use regression analysis to determine which measure, DLH or Units (or both), should be used for the budget. How would the regression equation be used to obtain the budget for the firms overhead costs?Given the following history, use a three-quarter moving average to forecast the demand for the third quarter of this year. Note that the 1st quarter is Jan, Feb, and Mar; 2nd quarter Apr, May, Jun; 3rd quarter Jul, Aug, Sep; and 4th quarter Oct, Nov, Dec. (Round final answer to a whole number.) JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC Last year 165 185 200 230 240 265 210 200 195 265 290 315 This year 175 200 165 260 260 200 Forecast for the third quarterUsing 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
- A manufacturer forecasted demand for year 2014 of 40,000 units of rera products where as the actual demand was 51,000 units now using a smoothing constant of aplha 0.4 the manufacture wants to forecast demand for 2015 using the exponential smoothing model ?Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Using exponential smoothing with a smoothing constant (a) of 0.30 and a starting forecast of 415.00, the following sales forecast has been developed: Forecasted Year Sales Sales 2005 455 415.00 2006 510 427.00 2007 516 451.90 2008 570 471.13 2009 585 500.79 The MAD for a forecast developed using exponential smoothing with a = 0.30 is 74.04 sales (round your response to two decimal places). Forecasted sales for years 2006 through 2010 using exponential smoothing with a = 0.60 and a starting forecast of 415.00 are (round your responses to two decimal places): Year 2005 2006 2007 2008 2009 2010 Forecasted Sales 415.00 439 481.6 502.24 542.9 568.12 The MAD for a forecast developed using exponential smoothing with a = 0.60 is decimal places). sales (round your response to twoApply the 3-years moving average method to forecast the required demand for the year 2021 from the following historical data. Years 2012 2013 2014 2015 2016 2017 2018 2019 2020 Demand 245 325 300 350 295 400 450 380 500
- Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Using exponential smoothing with a smoothing constant (a) of 0.30 and a starting forecast of 415.00, the following sales forecast has been developed: Forecasted Year Sales Sales 2005 455 415.00 2006 510 427.00 2007 516 451.90 2008 570 471.13 2009 585 500.79 The MAD for a forecast developed using exponential smoothing with a = 0.30 is sales (round your response to two decimal places).Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Using exponential smoothing with a smoothing constant (a) of 0.30 and a starting forecast of 415.00, the following sales forecast has been developed: Forecasted Year Sales Sales 2005 455 415.00 2006 510 427.00 2007 516 451.90 2008 570 471.13 2009 585 500.79 The MAD for a forecast developed using exponential smoothing with a = 0.30 is 74.04 sales (round your response to two decimal places). Forecasted sales for years 2006 through 2010 using exponential smoothing with a = 0.60 and a starting forecast of 415.00 are (round your responses to two decimal places): Year 2005 2006 2007 2008 2009 2010 Forecasted Sales 415.00 439 481.6 502.24 542.9 568.12 The MAD for a forecast developed using exponential smoothing with a = 0.60 is 51.05 sales (round your response to two decimal places). Forecasted sales for years 2006 through 2010 using exponential smoothing with a =…Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Using exponential smoothing with a smoothing constant (a) of 0.30 and a starting forecast of 415.00, the following sales forecast has been developed: Forecasted Year Sales Sales 2005 455 415.00 2006 510 427.00 2007 516 451.90 2008 570 471.13 2009 585 500.79 The MAD for a forecast developed using exponential smoothing with a = 0.30 is 74.04 sales (round your response to two decimal places). Forecasted sales for years 2006 through 2010 using exponential smoothing with a = 0.60 and a starting forecast of 415.00 are (round your responses to two decimal places): Year 2005 2006 2007 2008 2009 2010 Forecasted Sales 415.00
- A store has the following demand figures for the last five years: Year Demand 1 1000 2 1500 3 1200 4 1600 5 1400 What is the exponential smoothing forecast for year 3? Use alpha = 0.2 and a forecast for year 1 of 1200. (round to nearest integer)An exponential smoothing is being used to forecast demand. Which of the following alpha value (or error weight) should be used if the demand is highly sensitive to the current events and external factors? a. 0.75 b. 0.05 c. -1.5 d. 0.0 e. 1.75Use exponential smoothing with trend adjustment to forecast demand for period 11. Let α = 0.5, β= 0.3, and let the initial trend value be 12 and the initial forecast be 200. Period Actual Demand 1 200 2 212 3 214 4 222 5 236 6 221 7 240 8 244 9 250 10 266