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The cafeteria supervisor at CarWash is interested in developing a forecast model for the number of meals to be prepared each day. The following daily data from the cafeteria's register were collected. Using the data, the supervisor had already computed forecast values using a regression model. However, s/he would like to assess the regression model's accuracy to a base model called "exponential smoothing."
WORKING AREA FOR THE PROBLEMExponential RegressionDay Meals Forecast Error Forecast Error1 37 36.942 40 38.663 41 40.384 37 42.115 45 43.836 50 45.557 43 47.288 47 49.009 56 50.7310 52 52.4511 55 54.1712 54 55.90
assume now that CarWash had been using the regression model in forecasting. What would you conclude about its performance? Show details for updated MAD calculations, at least for three periods. Use action limits that correspond to 3s control limits, and plot the corresponding tracking signal values. (HINT: 1sigma = 1.25 MAD, action limit is plus and minus and counts for how many MAD we have in specified number of sigma.)
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onsider the following bill of material. Fifty units of Product A are required. Assuming no on-hand inventory, explode the bill of material. If 17 Ps are required also no on-hand inventory exists for any items, elucidate how many Cs will be require..
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