Sales of a particular product for the years 2017 through 2020 have been 43,466, 63,848, 51,112 and 79,210 respectively. What sales would you predict for 2021 using a simple four-year moving average?
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A: THE ANSWER IS AS BELOW:
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- Under what conditions might a firm use multiple forecasting methods?Sales of a particular product (in the thousands of dollars) for the year of 2015 through 2018 have been $48,000, $64,000, $67,000 and $83,000 respectively. (a) What sales would you predict for 2019, using a simple four year moving average? (b) What sales would you predict for 2019, using a weighted moving average with weights of 0.50 for the immediate preceding year 0.3, 0.15, and 0.05 for the three years before that?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
- 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 January, February, and March; 2nd quarter April, May, June; 3rd quarter July, August, September; and 4th quarter October, November, December.Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Year Sales 1 455 2 510 3 518 4 570 5 590 a) Forecasted sales for year 6 using the trend projection (linear regression) method are 627.6627.6 sales (round your response to one decimal place). b) The MAD for a linear regression forecast is nothing sales (round your response to one decimal place).Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Year Sales 1 455 2 510 3 518 4 570 5 590 a) Forecasted sales for year 6 using the trend projection (linear regression) method are nothing sales (round your response to one decimal place)
- Sales of Volkswagens have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Year Sales 1 460 2 502 3 518 4 575 5 580 Part 2 a) Forecasted sales for year 6 using the trend projection (linear regression) method are enter your response here sales (round your response to one decimal place).Given the following history, use a three-quarter moving average to forecast the demand for the third quarter of this year. Note: the 1st quarter is Jan, Feb, and Mar; 2nd quarter id Apr. May, Jun; 3rd quarter Jul, Aug, Sep; 4th quarter Oct, Nov, Dec. JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC LAST YEAR 145 165 170 210 220 245 190 180 175 245 270 295 THIS YEAR 145 170 180 235 275 225 What is the forecast for the third quarter?Given the following history, use a three-quarter moving average to forecast the demand for the third quarter of this year. Note, the 1st quarter is Jan, Feb, and Mar; 2nd quarter Apr, May, Jun; 3rd quarter Jul, Aug, Sep; and 4th quarter Oct, Nov, Dec.
- We are using Winter’s method and monthly data toforecast the GDP. (All numbers are in billions of dollars.)At the end of January 2005, Lt 600 and Tt 5. We aregiven the following seasonalities: January, 0.80; February,0.85; December, 1.2. During February 2005, the GDP is ata level of 630. At the end of February what is the forecastfor the December 2005 level of the GDP? Use a b g 0.5.Given the actual demand for years 2013/14, calculate the total forecast for year 2015, as well as the forecast units for each quarter of 2015. For your calculations use the principles of trend and seasonality. List five figures, as follows: Total, Q1, Q2, Q3, Q4 Quart. Year 2013 % Year 2014 % Year 2015 % 1 16 20 2 33 34 3 58 70 4 33 32For the causal analysis forecasting method, which variables would a business identify as being relevant to their organization’s sales?
