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Use simple exponential smoothing to make predictions for the hospitals revenues during the next four quarters with = 0.30. (2) Use Trend-Adjusted Exponential Smoothing(i.e. Holts
Use simple exponential smoothing to make predictions for the hospitals revenues during the next four quarters with = 0.30.
(2) Use Trend-Adjusted Exponential Smoothing(i.e. Holts method) to make forecasts for the hospitals revenues during the next four quarters. Assume = 0.05, = 0.65, initial revenue forecast = 1209285.75 and initial trend forecast = 15714.
(3) Using least-squares regression with seasonal index decomposing method, forecast the hospitals revenues during the next four quarters.
Quarter 1 N 3 4 5 6 7 8 9 10 Revenue $1,200,000 $880,000 $1,800,000 $1,050,000 $1,700,000 $350,000 $2,500,000 $760,000 $2,300,000 $1,000,000 $1,570,000 $2,430,000 $1,320,000 $1,400,000 $1,890,000 $3,200,000 $2,200,000 $1,440,000 $4,000,000 $4,100,000 11 12 13 14 15 16 17 18 19 20 Quarter 1 N 3 4 5 6 7 8 9 10 Revenue $1,200,000 $880,000 $1,800,000 $1,050,000 $1,700,000 $350,000 $2,500,000 $760,000 $2,300,000 $1,000,000 $1,570,000 $2,430,000 $1,320,000 $1,400,000 $1,890,000 $3,200,000 $2,200,000 $1,440,000 $4,000,000 $4,100,000 11 12 13 14 15 16 17 18 19 20
Use simple exponential smoothing to make predictions for the hospitals revenues during the next four quarters with = 0.30.
(2) Use Trend-Adjusted Exponential Smoothing(i.e. Holts method) to make forecasts for the hospitals revenues during the next four quarters. Assume = 0.05, = 0.65, initial revenue forecast = 1209285.75 and initial trend forecast = 15714.
(3) Using least-squares regression with seasonal index decomposing method, forecast the hospitals revenues during the next four quarters.
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