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K Income at the law firm of Smith and Jones for the period February to July was as follows: Month Income (in $ thousand) February

K Income at the law firm of Smith and Jones for the period February to July was as follows: Month Income (in $ thousand) February 90.0 March 91.5 April 96.0 May 85.4 June 92.2 D July 96.0 Assume that the initial forecast for February is $85,000 and the initial trend adjustment is 0. The smoothing constants selected are a = 0.2 and B=0.9. Using trend-adjusted exponential smoothing, the forecast for the law firm's August income = 96.17 thousand dollars (round your response to two decimal places). The mean squared error (MSE) for the forecast developed using trend-adjusted exponential smoothing = (thousand dollars) (round your response to two decimal places).
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\begin{tabular}{lcccccc} Month & February Mareh & April & May & June & July \\ \hline Inceme [in S thousand) & 900 & 915 & 900 & 054 & 922 & 900 \end{tabular}

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