forecasting
Homework Answers
Weights decline exponentially
Most recent data weighted most
Requires smoothing constant (?)
Ranges from 0 to 1
Subjectively chosen
Involves little record keeping of past data
The conditions that would have to exist for driving a car that are analogous to the assumptions made when using exponential smoothing are thatthe immediate future will be like the recent past. This would suggest:
a.No sharp curves or turns on the road
b.Constant traffic conditions
c.No traffic lights or stop signs
d.Constant road conditions
1: Please select the right statement(s) that apply to the exponential smoothing with trend adjustment forecasting...
1: Please select the right statement(s) that apply to the exponential smoothing with trend adjustment forecasting method Select one or more: a. The exponential smoothing with trend adjustment requires the initial forecast b. The use of exponential smoothing with trend adjustment is appropriate when the underlying average of the time series is either increasing or decreasing c. α and β should be carefully selected between 0 and 1 in a way to minimize the forecasting errors d. Setting α close...
You are not sure that the forecasting technique that your company is using is correct for...
You are not sure that the forecasting technique that your company is using is correct for two items that you manage. At this time you want to consider several new options and pick the one that reduces the amount of forecast error. To accomplish this task you will use the data listed below. Month 1 Month 2 Month 3 Month 4 Month 5 Month 6 Month 7 Month 8 Month 9 Month 10 Month 11 Month 12 stereo system 22...
Choose one of the following forecasting methods discussed in this chapter: last-value, averaging, moving-average, or exponential...
Choose one of the following forecasting methods discussed in this chapter: last-value, averaging, moving-average, or exponential smoothing. Identify the conditions when the method is most appropriate to use and give an example of an application of this method.
When we set alpha=0 in the exponential smoothing forecasting model what are we essentially assuming
When we set alpha=0 in the exponential smoothing forecasting model what are we essentially assuming
Suppose that two forecasting methods A and B (for example, moving average and exponential smoothing) are...
Suppose that two forecasting methods A and B (for example, moving average and exponential smoothing) are used on the same data set to generate forecasts. Suppose that method A has a lower MAD than method B. Will it also have a lower MAPE?
We use data from the past to determine the best forecasting method for the future. What...
We use data from the past to determine the best forecasting method for the future. What is one of the uses of this data from the past when dealing with selecting the best forecasting method? To determine the best value for c, the capacity of a water slide All the other answers are correct To determine the best weights for olympic lifting To determine the best value for alpha used in the forecasting method Exponential Smoothing
q 3 si 1s a percentage change? How would you calculate it? How would you generate...
q 3
si 1s a percentage change? How would you calculate it? How would you generate forccasts using the Average Percentage Change? 3. What is Single Exponential Smoothing and what is its in its equation mean? How did Exponential Smoothing get its name? forecasting equation? What do the terms 4. How would you generate forecasts using Single Exponential Smoothing? How does changing the number of terms (N) in Single Moving Averages and changing alpha Single Exponential Smoothing affect the forecasts?...
Part A. What is the difference between bias and random error in forecasting? Random errors refer...
Part A. What is the difference between bias and random error in forecasting? Random errors refer to short term and bias to long term Random errors refer to long term and bias to short term Random errors are smaller than bias errors Bias errors are consistently in the same direction while random errors are not Part B. Which of the following is NOT true about forecasting? It is good practice to include a measure of expected forecast error with any...
You are doing an internship with Macy’s and are tasked with forecasting sales so that you can mak...
You are doing an internship with Macy’s and are tasked with forecasting sales so that you can make inventory orders. You have weekly sales data for men’s dress shirts in your store from each of the past six weeks. You decide to try both a 3-period moving average and exponential smoothing with λ = 0.7 to see which model is more accurate and then use that one to make forecasts. The sales data is shown below. Week # of Shirts...
A manager has been using a certain technique to forecast demand for project management software at...
A manager has been using a certain technique to forecast demand for project management software at her store. Actual demand and her corresponding predictions are shown below: MonthActual Demand Manager's Forecast March4545April4250May3445June4840July3845 a. What was the manager's forecast error for each month?b. What is the mean error (ME), the mean squared error (MSE), the mean absolute deviation (MAD), and the tracking signal for these five months of forecasting?c. If the manager had used a 3-month moving average instead of her technique, what would have...
q 3
si 1s a percentage change? How would you calculate it? How would you generate forccasts using the Average Percentage Change? 3. What is Single Exponential Smoothing and what is its in its equation mean? How did Exponential Smoothing get its name? forecasting equation? What do the terms 4. How would you generate forecasts using Single Exponential Smoothing? How does changing the number of terms (N) in Single Moving Averages and changing alpha Single Exponential Smoothing affect the forecasts?...
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