Fully answer all parts, only show work if needyecessary. I need this done by 11:59 PM tonight (I am on central time zone) I will give the highest rating, thank you!

Project: Sales per Share The table shows the sales per share S (in dollars) for Kohl's Corporation from 1995 through 2010. (Source: Kohl's Corporation) Sales per Year share, S 1995 6.53 1996 8.08 1997 9.70 1998 11.62 1999 13.97 2000 18.52 2001 22.35 2002 27.04 2003 30.23 2004 34.08 2005 38.84 2006 48.43 2007 53.06 2008 53.73 2009 55.95 2010 63.20 (a) Use the regression feature of a graphing utility to find a linear model, a quadratic model, and an exponential model for the data. Let f represent the year, with / = 5 corresponding to 1995. (b) Use the graphing utility to graph each model from part (a) with the original data. (c) Which model do you think best fits the data? Explain your reasoning. (d) For each model, find the coefficient of determination, /", as determined by the graphing utility. Use the results to choose which model best fits the data. How does this model compare with the model you chose from part (c)? (The correlation coefficient gives a measure of how well a model fits a data set. The closer the value of the coefficient of determination is to 1, the better the fit.) (e) Use the model that best represents the data to predict the net sales for Kohl's Corporation in 2020