The data in years. Use this table to answer the following questions. Year Sales Revenue Cost and Expenses (millions $) (millions $) 2003 3.4225 3.0121 2004 3.7575 3.4315 2005 3.9332 3.6257 2006 4.7512 3.8023 2007 4.9768 4.5400 2008 5.5485 4.8231 2009 5.7225 5.0321 2010 6.1668 5.8500 2011 5.9600 5.9523 2012 6.0927 5.6871 2013 5.6223 6.3110 2014 5.5012 6.6321 2015 4.8853 7.7423 a) Using the data set in the table, model Sales Revenues, R(x),as a quadratic function of year, with x=0 representing 2000. That is, plot this set of data and find the curve of best fit. (Use Excel)(Hint: replace 2003 with x=3, 2004 with x=4, and so forth. b) Use the functionR (x)you found in part a to determine the year (round to the nearest integer when necessary) in which the maximum revenue occurs, and then compare this value with the real data(maximum revenue in the table). c) Write a sentence to describe how well the function fits the data. d) Using the data set in the table, model Cost and Expenses, C(x), as a quadratic function of year, with x=0 representing 2000. That is, plot this set of data and find the curve of best fit.(Use Excel)(Hint: replace 2003 with x=3, 2004 with x=4, and so on before plotting the graph and finding the best fit curve.) e) Using the data set in the table, model Profit function, P(x), as a quadratic function. f) Use the profit function's P(x) graph you found in part e to find the year in which maximum profit occurs, and the maximum profit. g) Through the decade from 2008 to 2015, does the function P(x) project increasing or decreasing profits? Do the real data support this trend? Why? h) How might management respond to this kind of projection? Be specific while you explain your suggestions: use terms like "minimizing cost", "increasing revenue", "maximizing profit", "in the short/long term", etc., in your sentences