QUESTION 1 - The number of cans of soft drinks sold in a machine each week is recorded below. Develop forecasts using a three-period moving average.
338, 219, 276, 265, 314, 323, 299, 257, 287, 302
Report the forecast for period 6 (use 2 numbers after the decimal point).
QUESTION 2 - The number of cans of soft drinks sold in a machine each week is recorded below. Develop forecasts using a three-period moving average.
338, 219, 276, 265, 314, 323, 299, 257, 287, 302
Report the forecast value for period 9 (use 2 numbers after the decimal point)
QUESTION 3 - The number of cans of soft drinks sold in a machine each week is recorded below. Develop forecasts using a three-period moving average.
338, 219, 276, 265, 314, 323, 299, 257, 287, 302
Report the forecasting value for period 10 (use 2 numbers after the decimal point).
QUESTION 4 - The number of cans of soft drinks sold in a machine each week is recorded below. Develop forecasts using a three-period moving average.
338, 219, 276, 265, 314, 323, 299, 257, 287, 302
Report the Forecast error for period 5 (use 2 numbers after the decimal point)
QUESTION 5 - The number of cans of soft drinks sold in a machine each week is recorded below. Develop forecasts using a three-period moving average.
338, 219, 276, 265, 314, 323, 299, 257, 287, 302
Report the forecast error for period 8 (use absolute value and only two numbers after the decimal point)
QUESTION 6 - The number of cans of soft drinks sold in a machine each week is recorded below. Develop forecasts using a three-period moving average.
338, 219, 276, 265, 314, 323, 299, 257, 287, 302
Report the Mean Absolute Deviation for this forecast problem (MAD). Use 2 numbers after the decimal point.
QUESTION 7 - A hospital records the number of floral deliveries its patients receive each day. For a two-week period, the records show
15, 27, 26, 24, 18, 21, 26, 19, 15, 28, 25, 26, 17, 23
Use exponential smoothing with a smoothing constant of .3 to forecast the number of deliveries. Report the forecast for period 2 using 2 numbers after the decimal point.
QUESTION 8 - A hospital records the number of floral deliveries its patients receive each day. For a two-week period, the records show
15, 27, 26, 24, 18, 21, 26, 19, 15, 28, 25, 26, 17, 23
Use exponential smoothing with a smoothing constant of .3 to forecast the number of deliveries. Report the value of the forecast for period 6 using 2 numbers after the decimal point.
QUESTION 9 - A hospital records the number of floral deliveries its patients receive each day. For a two-week period, the records show
15, 27, 26, 24, 18, 21, 26, 19, 15, 28, 25, 26, 17, 23
Use exponential smoothing with a smoothing constant of .3 to forecast the number of deliveries. Report the forecast value for period 11, using 2 numbers after the decimal point.
QUESTION 10 - A hospital records the number of floral deliveries its patients receive each day. For a two-week period, the records show
15, 27, 26, 24, 18, 21, 26, 19, 15, 28, 25, 26, 17, 23
Use exponential smoothing with a smoothing constant of .3 to forecast the number of deliveries. Report the forecast error for period 4 using 2 numbers after the decimal point.
QUESTION 11 - A hospital records the number of floral deliveries its patients receive each day. For a two-week period, the records show
15, 27, 26, 24, 18, 21, 26, 19, 15, 28, 25, 26, 17, 23
Use exponential smoothing with a smoothing constant of .3 to forecast the number of deliveries. Report the forecast error for period 9 in absolute value and using 2 numbers after the decimal point.
QUESTION 12 - A hospital records the number of floral deliveries its patients receive each day. For a two-week period, the records show
15, 27, 26, 24, 18, 21, 26, 19, 15, 28, 25, 26, 17, 23
Use exponential smoothing with a smoothing constant of .3 to forecast the number of deliveries. Report the forecast error for period 13 in absolute value and using 2 numbers after the decimal point.
QUESTION 13 - A hospital records the number of floral deliveries its patients receive each day. For a two-week period, the records show
15, 27, 26, 24, 18, 21, 26, 19, 15, 28, 25, 26, 17, 23
Use exponential smoothing with a smoothing constant of .3 to forecast the number of deliveries. Report the MAD for the period of forecasting. Use 2 numbers after the decimal point.