3.6 only don't use ms excel

3.5 Using the naive approach determine the forecast accuracy for the restaurant sales data using the data in the following table: (Note: use prior data to determine the nave forecast for Jan 2021) Year Months Sales Forecast lel % error R'000 2021 Jan 438 Feb 434 Mar 338 Apr 332 254 Jun 264 Jul 231 Aug 224 Sep 243 Oct 289 May 3.5.1 The MAD for the forecast technique (2) 3.5.2 The MAPE for the forecast technique and (2) 3.5.3 Comment on the accuracy of the forecast technique. (1) 3.6 Considering the following linear trend equation Ft = 400 + 10t prepare a forecast for the value of the sales data at the restaurant for next year November, December (2022) and January (2023), where t = 0 is in July of last year (2020). Seasonal relatives are 1.20 for November, 1.50 for December and 2.10 for January (6)