Month 2017 2018 2019 January 242 263 282 February 235 238 255 March 232 247 265 April 178 193 205 May 184 193 210 June 140 149 160 July 145 157 166 August 152 161 174 September 110 122 126 October 130 130 148 November 152 167 173 December 206 230 235 (2.1) Provide a graphical representation for the given time-series. (2) (2.2) Conduct an analysis of seasonality of the given time series. This includes calculating the (8) seasonal indices, detect high and low seasonal sales months, and the trend if any, for sales for similar months throughout the years. (2.3) Deseasonalize the time-series. Does there appear to be any trend in the deseasonalized time (4) series? (2.4) Forecast sales for January through December of the year 2020. (6) [20]