Consider the time series data shown in the following table. Use an adjusted exponential smoothing model to develop a forecast for the 12 months of 2019. Assume that the unadjusted forecast and trend factor for January are 210,000 and 11,000 respectively.. Month Sales ($) January 220,000 February 240,000 March 260,000 April 270,000 May 270,000 June 290,000 July 300,000 August 290,000 September 290,000 October 300,000 November 320,000 December 330,000

Prepare forecasts for January through December using an adjusted exponential smoothing model with alphaequals=0. 5 and betaequals=0. 5 (enter your responses rounded to the nearest whole number). Month Sales ($) Adjusted forecast January 220,000 February 240,000 March 260,000 April 270,000 May 270,000 June 290,000 July 300,000 August 290,000 September 290,000 October 300,000 November 320,000 December 330,000