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3. Given the following information, make a forecast for May using exponential smoothing with trend and linear regression. Month Demand January 700 February 760 March 780 April 790 For exponential smoothing with trend, assume that the previous forecast (for April) including trend (FIT) was 800 units, and the previous trend component (T) was 50 units. Also, alpha(a) = 0.3 and delta(8) = 0.1. For linear regression, use the January-through-April demand data to fit the regression line. (12 points)
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