Problem #1- - The table below shows the actual sales of a Product X sold by Company Y from January to December of 2019. Month Actual Sales Naïve Forecast - Absolute Value of (# of Product X) Sales...

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Extracted text: Problem #1- - The table below shows the actual sales of a Product X sold by Company Y from January to December of 2019. Month Actual Sales Naïve Forecast - Absolute Value of (# of Product X) Sales Errors (# of Product X) Jan/19 Feb/19 1,860 2,033 Mar/19 3,556 Apr/19 May/19 Jun/19 4,211 6,250 7,990 10,250 9,850 9,980 9,990 Jul/19 Aug/19 Sep/19 Oct/19 Nov/19 Dec/19 Jan/20 7,895 5,353 - Explain the calculation method for the Naïve Forecast model. If at the end of every month from January/2019 to December/2019, the Sales Manager would have applied the Naive Model, calculate the Naive Forecast values for the months of February/2019 and all the way to January/2020. Enter those values on the table above. )- Calculate the Absolute Value of Error for every forecasted month, from February/2019 to a) b) c) January/2020. Enter those values on the table above. d) much nigher? Why are there months when the Absolute Value of Error is very low and months when it is e) Calculate the Mean Absolute Deviation (MAD), the Mean Squared Error (MSE) and the Mean Ausolute Percent Error (MAPE) for the Naive Forecast you created for Product X from March/2019 to January/2020 (not from February/2019 to January/2020).