Page 1. of Month Actual Sales Naive Forecast - Absolute Value of (# of Product X) Sales Errors (# of Product X) 1,860 2,033 Jan/19 Feb/19 Mar/19 Apr/19 3,556 4,211 6,250 May/19 Jun/19 Jul/19 Aug/19...

Need help answering A,B and C.

Extracted text: Page 1. of Month Actual Sales Naive Forecast - Absolute Value of (# of Product X) Sales Errors (# of Product X) 1,860 2,033 Jan/19 Feb/19 Mar/19 Apr/19 3,556 4,211 6,250 May/19 Jun/19 Jul/19 Aug/19 Sep/19 Oct/19 Nov/19 Dec/19 7,990 10,250 9,850 9,980 9,990 7,895 5,353 Jan/20 a) Explain the calculation method for the Naive 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 Febru/2019 and all the way to January/2020. Enter those values on the table above. b) c) Calculate the Absolute Value of Error for every forecasted month, from February/2019 to December/2020. Enter those values on the table above. - Why are there months when the Absolute Value of Error is very low and months when it is gher? - Calculate the Mean Absolute Deviation (MAD), the Mean Squared Error (MSE) and the ean Absolute Percent Error (MAPE) for the Naive Forecast you created for Product X from March/2019 to December/2020 (not from February/2019 to January/2020). d) e) Page 1 of 2 MacBook A