The VP of admissions at SWC knows from past experience how many of the students that apply to the school will actually end up attending and generating revenue (the “conversion rate”). However, it is always a guess as to how many students will end up applying each year, so projecting revenue and expenses is difficult. The VP would like a systematic way to predict applications for next year based on the number of applications in years past. The VP would like you to present at least three different methods to predict applications for next year, along with at least two ways to determine which prediction method is best. Which method would you recommend? Why? The number of applications received in previous years is found in Tab 1 of the Excel file “Case 3 Data which is listed below methods can be any used in forecasting, qualitative or quantitative and choosing can be MSE, MAD, or MAPE

Year	Applications
2009	803
2010	877
2011	942
2012	863
2013	937
2014	1054
2015	922
2016	976
2017	1103
2018	1351
2019	907
2020	1322