Forecast that reflect very little happenstance fluctuation in the past data are said to exhibit

| November 9, 2018

Question 11. Forecast that reflect very little happenstance fluctuation in the past data are said to exhibit1. Seasonal effects2. noise dampening response3. impulse response4. all of the above5. none of the above5 points Question 21. A Winter’s forecasting model that has zero values for the beta and gamma constants exhibit what type of behavior1. A simple exponential smoothing model2. Impulse response3. Noise dampening4. all of the above5. none of the above5 points Question 31. In measuring forecast accuracy, the average of the absolute difference between the forecast and the actual demand is called1. alpha2. E-bar3. MAD4. all of the above5. none of the above5 points Question 41. Choice the best type of forecasting methods for the type of data indicated2. trend data that fits in a straight line D short range forecast with no trends or seasonal effects E random data with no seasonal effects or trends A random data that illustrates a trend or seasonal pattern B random data with a trend or no seasonal effect C 2. 3. random data with a trend or no seasonal effect A. Exponential SmoothingB. Winter’s MethodC. Holt’s MethodD. Linear RegressionE. Moving Average20 points Question 51. In order to establish a forecast method that exhibits impulse response;1. an exponential smoothing forecast method should be used2. the data must be linear3. The alpha coefficient should be set close to 1 for exponential smoothing4. The alpha coefficient should be set close to 0 for exponential smoothing5. None of the above5 points Question 61. Refer to the data in table 1 posted in the discussion folder. Using the data, what is the forecast for November if a three month moving average model is used?1. 49.252. 50.673. 53.004. none of the above5 points Question 71. Refer to the data in table 1 posted in the discussion folder. Using the data, which month has a demand forecast equal to 55 for a 3 month moving average approach1. April2. June3. August4. October5. None of the above5 points Question 81. Refer to the data in table 1 posted in the discussion folder. Using the data, what is the November forecast if exponential smoothing is used with an alpha value = .11. 47.92. 53.23. 40.84. 51.65 points Question 91. Refer to the data, table 1, from the discussion folder. Using this data, what is the forecast error % for an exponential smoothing model with a alpha of .61. 10%2. 12%3. 14%4. 16%5. 18%5 points Question 101. Forecasting models are an integral part of business planning that requires input from1. marketing2. demand estimates3. sales forecast4. all of the above5. none of the above5 points Question 111. The alpha coefficient in exponential smoothing1. is set equal to the actual value in period 12. varies over a time series of data3. is a value between 0 and 14. all of the above5. none of the above5 points Question 121. Quarterly data which reflect an increase every fourth quarter followed by a decrease every first quarter are said to be1. seasonal2. cyclical3. periodical4. abnormal5. following a trend5 points Question 131. To deseasonalize time series data1. divide each actual value by the trend line intercept2. divide each actual value by its seasonal index factor3. divide each actual value by total forecast error4. divide each actual value by the alpha coefficient5 points Question 141. A linear trend for 12 months of data is y = 339.02 + 23.96x. What is the forecast for the next quarter (January, Feruary and March)?1. 1160.822. 1807.743. 2023.384. 3641.595 points Question 151. Refer to the data in table 1 posted in the discussion folder. Using the data, what is the MAD for an exponential smoothing model with alpha = .11. 6.22. 7.73. 8.34. 8.85 points Question 161. The delphi method of forecasting is1. time series method for detecting seasonality2. variation of exponential smoothing method3. multiple regression method4. qualitative method which solicits from experts5. qualitative method for researching similar to data5 points Question 171. The ideal value of MAD is1. 02. 1003. 104. none of the above5 points Click Save and Submit to save and submit. Click Save All Answers to save all answers.

Get a 20 % discount on an order above $ 40
Use the following coupon code:
LOBSTER
Positive SSL