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# 252samp1 - BA 252 Dr Campbell SAMPLES I 1 The demand for months 1-4 is as follows 90 85 87 83 a Forecast demand for month 5 using a 3-period moving

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BA 252 Dr. Campbell SAMPLES I 1. The demand for months 1-4 is as follows: 90, 85, 87, 83. a) Forecast demand for month 5 using: a 3-period moving average, a 2-period weighted moving average with weights of 0.7 and 0.3, and exponential smoothing with α =0.3 (use 85 as the old forecast for period 4). b) Suppose the actual demand for month 5 is 82. Forecast demand for month 6 using: a 3-period simple moving average, a 2-period weighted moving average with weights of 0.7 and 0.3, and exponential smoothing with α =0.3. c) If the demand for month 6 was 80, determine the mean absolute deviation (MAD), mean squared error (MSE) and mean absolute percentage error (MAPE) for the three period moving average for months 5 and 6. 2. a) Calculate the best fitting line using linear regression to forecast demand using the data for four periods of demand and number of salespeople below. number of salespeople 14 16 12 15 demand 40 50 20 42 b) If there are 17 salespeople in the next period, what is the forecast for demand? c) Graph the four data points and the linear regression line. 3. The following statement defines a set of decision variables for a linear programming problem:

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## This note was uploaded on 02/15/2012 for the course BA 252 taught by Professor Jamescampbell during the Winter '03 term at UMSL.

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252samp1 - BA 252 Dr Campbell SAMPLES I 1 The demand for months 1-4 is as follows 90 85 87 83 a Forecast demand for month 5 using a 3-period moving

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