Question: Quantitative forecasting methods do not require that patterns from the past will necessarily continue in the future. Select the correct response. O True O FalseThe








Quantitative forecasting methods do not require that patterns from the past will necessarily continue in the future. Select the correct response. O True O FalseThe forecasting method that is appropriate when the time series has no significant trend, cyclical, or seasonal effect is Select the correct response. O qualitative forecasting methods O mean squared error O mean average deviation O moving averagesA four-period moving average forecast for period 'ID would be found by averaging the values from periods \"ID, '3', 8, and F. Safes? the earnest response: True False Fill in the blanks: For the Hawkins Company, the monthly percentages of all shipments that were received on time over the past 12 months are 80,82,84,83,83,84,85,84,82,83,84,and 83. a. Compare a 2-month moving average forecast with an exponential smoothing forecast for a = 0.2. Which provides the better forecast? b. What is the forecast for next month? *round off to two decimal placesThe table below shows the demand for a particular brand of fax machine in a department store in each of the last twelve months. Month : 1 2 3 4 5 6 7 8 9 10 11 12 Demand: 12 15 19 23 27 30 32 33 37 41 49 58 Select the best forecasting model and make a demand forecast for the 13 month using *4-period Moving Averages .Simple exponential smoothing with o = 0.15 .Trend projection *round off forecast to 2 decimal places What is the BEST forecasting model?Causal models Select the correct response: do not use time series data. attempt to explain a time series\" behavior. should avoid the use of regression analysis. All of the alternatives are tme. Consider the following time series data Quarter Year 1 Year 2 Year 3 1 71 68 62 49 41 51 W N 58 60 53 4 78 81 72 1. Construct a time series plot. In each year the lowest value occurs in what Quarter? the highest? 2. Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtm =1 if Quarter 1, o otherwise; Qtrz =1 if Quarter 2, o otherwise; Qtr3 = 1 if Quarter 3, o otherwise. Compute the quarterly forecasts for next year. Year 4 Forecast Quarter Quarter Quarter 3 Quarter 4 Round off answer to 2 decimal placesLinear trend is calculated as F = 28.5 +0.75t. The trend projection for period 15 is Select the correct response. O 11.25 O 44.25 O 39.75 O 11.25
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