Prepare Paul Jordans report to John Smithers using quantitative forecasting techniques ( exponential smoothing and linear regression) . Remember to factor in both trend and seasonality patterns from the data to make the forecast more accurate. Can you evaluate the forecast accuracy using one or more of the methods (e.g. MFE, MAD) ?

Cases	Cases	Cases	Cases
Year	Year 1	Year 2	Year 3
January	480	575	608
February	436	527	597
March	482	540	612
April	448	502	603
May	458	508	628
June	489	573	605
July	498	508	627
August	430	498	578
September	444	485	585
October	496	526	581
November	487	552	632
December	525	587	656