In: Statistics and Probability
Income at the architectural firm Spraggins and Yunes for the period February to July was as follows:
Month |
February |
March |
April |
May |
June |
July |
Income ($000's) |
75 |
71.5 |
66.4 |
72.3 |
73.5 |
74 |
Assume that the initial forecast for February is 70 (in $ thousands) and the initial trend adjustment is 0. The smoothing constants selected are alpha (α) = 0.1 and beta (β) = 0.3
1) Using trend-adjusted exponential smoothing, the forecast for the architectural firm's August income is _______ thousand dollars (round your response to two decimal places).
2) Compute the MSE for the forecast developed using trend-adjusted exponential smoothing. (Round your response to two decimal places.)
1)Using trend-adjusted exponential smoothing,the forecast for
the architectural firm's August income is 71.50 thousands
dollars
2)MSE for the forecast developed using trend-adjusted exponential
smoothing is 12.89
F=Forecast=FIT(previous)+alpla*(actual-FIT(previous))
T=Trend=Trend(previous)+beta*(F(current)-FIT(previous))
FIT=Forecast including Trend=F+T
Error=actual-F ; Sq. error=Squared Error=Error*Error
SSE=Sum of square of Error
MSE=Mean Square Error=SSE/n