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Deseasonalization Beer Sales and Corvette data

(a) Use MegaStat to deseasonalize the quarterly data on Beer&wine Sales revenues and fit a trend. Interpret the results. Use only data until 2016 and hold off 2017 data. (b) Use the deseasonalized trend line equation to make a prediction (Deseasonalize and with seasonality) for each quarter in 2017. (c) Run Regression using binaries as we did in the class and Use the regression equation to make a prediction for each quarter in 2017.  (d) Check your forecasts from two methods by comparing your forecasts with the actual data. How accurate were they? Which forecast did better? Discuss. 

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