Extra Credit Assignment This extra credit forecasting assignment is available for the next two weeks. I have provided two "mystery" time series below. Each is a real world, quarterly time series, that has been transformed in some way so that you cannot discover (easily) its true identity. Your asignment is to create a 1-year (4quarter) forecast for each series. You can use any method or combination of methods that you feel is best. After the due date, I will reveal the actual values for the next 4 quarters and, for each series, 15 points extra credit will be awarded to the most accurate forecast based on MSE. (Other, less accurate forecasts will receive extra credit points based on their accuracy in comparison to the most accurate forecast). To submit the extra credit assignment, upload a speadsheet to the appropriate D2L dropbox containing your forecast as well as a description of how it was created (any transformation you made to the series, which observations were used in calcuation, what technique, etc....you should provide enough detail that someone else could replicate your forecast exactly). Download the data series: Series X.xlsx Series Y.x|sx Sec-lax 250 SeriesY 7,0000 200 ' 6.500.0' .iChanAreai. M sown' W" 5500.0 9, 5000.0 0500.0 "smm 12305670910 Links to the dropboxes: Extra Credit Series X Extra Credit Series Y (must be submitted by 11:59pm on Sunday July 29)