What is forecast erro r and how can you account for errors in your forecasting?
What is forecast erro r and how can you account for errors in your forecasting?
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...
How would you go about redesigning an account based forecasting to a driver based forecasting. What steps would you take to change the forecasting model from account base to driver base
After reading the opening vignette about Nike’s forecast and errors, how will you as a colleague defend the person/s that were involved in making these forecasts. Please explain in great detail. Thank you! Nike sells sportswear for men, women, and children, carrying everything from shoes and clothing, to gear and accessories. Have you ever walked into one of Nike's stores and considered the massive variety of products available on the retail shelves? There are numerous products in each category and...
In this problem, you are to test the validity of your forecasting model. Here are the forecasts for a model you have been using and the actual demands that occurred: WEEK mtindo FORECAST 840 870 970 970 1,020 ACTUAL 920 1,020 1,070 920 920 1,010 995 a. Use the method stated in the text to compute the MAD and tracking signal for each week. (Negative values should be indicated by a minus sign. Round your "Tracking Signal" to 1 decimal...
Theil’s U-statistic for errors, using a regression forecast, turns out to be > 1.00. What does that mean? U = (Standard error of the forecast model being used) / (Standard error of the naïve forecast model) a. The naïve method produces better results than the regression technique being used b. The naïve method is as good as the regression forecasting technique being used. c. The regression forecasting technique being used is better than the naïve method. d. E=mc2
Suppose that you obtained a MAD equal to 10 when forecasting county sales. The MAD indicates: A. The forecast is off by 10% B. It is the best forecast you can get. C. The average magnitude of past forecast errors equal to 10 D. Indicates bias in the forecast equal to 10
You are forecasting cash flows for a new investment. You forecast working capital needs as a percentage of revenues; should your fixed asset requirements also be as a percentage of revenues?
MC Qu. 91 Given forecast errors of 4, 8, and -3, what... If you have calculated forecast errors of 4, 8 and -3, what is MAD? Multiple Choice О о о
Two different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottled water. Note: It doesn't matter what forecasting method was used. This problem is simply to practice with MAD and MAPE! Actual demand and the two sets of forecasts are as follows: Period PREDICTED DEMAND F2 67 60 Demand 68 F1 75 67 67 71 70 69 70 74 69 72 72 77 71 77 80 78 70 72 75 75 83 a. Compute MAD...
Suppose that you generated a forecast with the some data, and you have the following errors: Week (1) 1 2 3 4 5 6 7 21.7 -15 0.8 -5.6 3.8 What is the CFE (Write your answer using ONE decimal place)