Develop a mean squared error for the forecast


Assignment:

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)

90.0

91.5

96.0

85.4

92.2

96.0

Assume that the initial forecast for February is 85.0 (in $ thousands) and the initial trend adjustment is 0. The smoothing constants selected are a= 0.2 and beta ß = 0.3. Using trend-adjusted exponential smoothing, the forecast for the architectural firm's August income is _93.65___ thousand dollars (round your response to two decimal places).

The mean squared error (MSE) for the forecast developed using trend-adjusted exponential smoothing is (thousanddollars dollars) 2 (round your response to two decimal places).

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Operation Management: Develop a mean squared error for the forecast
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