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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- 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?Given the following data, use least-squares regression to derive a trend equation: Period Demand where y Demand and x = Period. 1 10 2 12 3 5 4 13 5 12 6 11 D The least-squares regression equation that shows the best relationship between demand and period is (round your responses to two decimal places):Given the following data, use least-squares regression to derive a trend equation: Period 1 2 3 4 5 6 Demand 6 7 10 11 9 15 The least-squares regression equation that shows the best relationship between demand and period is (round your responses to two decimal places): y=nothing+nothingx, where y=Demand and x=Period.
- 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 DecemberBelow is a table containing data on product demand for the most recent five months along with the forecasts that had been made for those 5 previous months. Use the 3-period weighted moving average method to forecast the number of sales to expect next month. Use the following weights: 0.4 for the most recent, 0.3 for the 2nd most recent, and 0.3 for the 3rd most recent. Month Demand Forecast 1 308 337 2 388 341.4 3 344 368 4 400 342.8 5 341 378.4Sales 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).
- Sales of Volkswagens have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Q Year 1 2 3 4 5 a) Forecasted sales for year 6 using the trend projection (linear regression) method are Sales 455 510 518 575 590 sales (round your response to one decimal place).Suppose a firm has had the following historic sales figures. Year: 2016 2017 2018 2019 Sales $3,400,000 $4,650,000 $3,300,000 $2,900,000 What would be the forecast for next year's sales using the naïve approach? Answer is complete but not entirely correct. Next year's sales $ 3,550,000 2020 $3,500,000Given 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 nothing sales (round your response to one decimal place)You work for BMW as a planner. BMW is expecting to increase its annual sales for BMW- X5 in year 2021 by 10 % compared to year 2020 annual sales. Find the quarterly forecast for year 2021, given the following data : (You need to consider the Quarterly seasonal effect) Quarter Actual Car Sales (2019) Actual Car Sales (2020) Quarter 1 80000 88000 Quarter 2 100000 110000 Quarter 3 120000 132000 Quarter 4 90000 99000In the absence of a trend, how would sales be forecast by moving-average method?