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You have monthly sales data on surfboards ranging from January 2017 to September 2018. 2017-01-01 6459 2018-01-01 6692 2017-02-01 6527 2018-02-01 6799 2017-03-01 6634 2018-03-01

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You have monthly sales data on surfboards ranging from January 2017 to September 2018. 2017-01-01 6459 2018-01-01 6692 2017-02-01 6527 2018-02-01 6799 2017-03-01 6634 2018-03-01 6889 2017-04-01 6816 2018-04-01 7061 2017-05-01 6990 2013-05-01 7233 2017-07-01 7197 2013-07-01 7496 2017-08-01 7228 2018-08-01 7525 2017-09-01 7177 2013-09-01 7477 2017-10-01 7132 2017-11-01 7117 2017-12-01 6970 You training set will now be all of 2017. You will create a sequence of 9 forecasts for January 2018 to September 2018 using the mean, naive, seasonal naive and drift methods. Create one title page with your name, student number and date on it. On page 2 create a table, using LaTeX, containing: the data for 2018, your mean, naive, seasonal naive and drift forecasts (total of 6 columns including the time index column). Page 3 (and maybe a page 4) should show your calculations (9 forecasts x 4 methods = 36 calculations). Make sure that you use the correct indices specially for the seasonal naive equations. Use the math environment in LaTeX to create all of your equations. Create also an Appendix containing your LaTeX script used to generate your pdf

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