Harlen Industries has a simple forecasting model. Take the actual demand for the same month last year and divide that by the number of fractional weeks in that month This gives the average weekly demand for that month This weekly average is used as the weekly forecast for the same month this year. This technique was used to forecast eight weeks for this year, which are shown below along with the actual demand that occurred, The following eight weeks show the forecast (based on last year) and the demand that actually occurred: FORECAST ACTUAL DEMAND WEEK 1 DEMAND 135 135 OWN 150 136 140 150 145 143 132 128 140 150 170 160 175 195 a. Compute the MAD of forecast errors. (Round your answers to 2 decimal places.) Week MAD 1 2 a. Compute the MAD of forecast errors (Round your answers to 2 decimal places.) Week MAD 1 2 3 4 5 6 7 8 b. Using the RSFE, compute the tracking signal (Round your answers to 2 decimal places. Negative values should be indicated by a minus sign.) Week Tracking Signal 1 2 3 4 5 6 7 c. Based on your answers to a and b. comment on Harlen's method of forecasting The forecast should be considered poot. O The forecast should be considered good