What is the primary difference between time-series and associative forecasting models? A. Associative models do not predict demand B. Time-series models are only used for long-range forecasts C. Time-series models are only used for economic forecasts D. Associative models incorporate variables that might influence the quantity being forecasted a) The forecasted demand for the week of October 12 using a 3 -week moving average = response to two decimal places). pints (round your b) Using a 3 -week weighted moving average, with weights of 0.15,0.35, and 0.50 , using 0.50 for the most recent week, the forecasted demand for the week of October 12= pints (round your response to two decimal places and remember to use the weights in appropriate order - the largest weight applies to most recent period and smallest weight applies to oldest period.) c) If the forecasted demand for the week of August 31 is 350 and =0.20, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of October 12 (round your responses to two decimal places)