You are using an exponential smoothing model for forecasting. The running sum of the forecast error statistics (RSFE) is calculated each time a forecast is generated. You find the last RSFE to be 34. Originally, the forecasting model used was selected because of its relatively low MAD of 0.4. To determine when it is time to re-evaluate the usefulness of the exponential smoothing model, you compute tracking signals. Which of the following is the resulting tracking signal?A) 85B) 60C) 13.6D) 12.9E) 8

An annual marathon covers a route that has a distance of approximately 26 miles. winning times for this marathon are all over 2 hours. the following data are the minutes over 2 hours for the winning male runners over two periods of 20 years each. earlier period 14 12 15 22 13 10 19 13 9 14 20 18 16 20 23 12 18 17 6 13 recent period 7 11 7 14 8 9 11 14 8 7 9 8 7 9 9 9 9 8 10 8 (a) make a stem-and-leaf display for the minutes over 2 hours of the winning times for the earlier period. use two lines per stem. (use the tens digit as the stem and the ones digit as the leaf. enter none in any unused answer blanks. for more details, view how to split a stem.) minutes beyond 2 hours earlier period 0 1 2 (b) make a stem-and-leaf display for the minutes over 2 hours of the winning times for the recent period. use two lines per stem. (use the tens digit as the stem and the ones digit as the leaf. enter none in any unused answer blanks.) minutes beyond 2 hours recent period (c) compare the two distributions. how many times under 15 minutes are in each distribution