Find the best-fit line for Year Close Price, y, at x years since 2005;     Calculate the value of the Correlation Coefficient for Year Close Price, y, at x years since 2005; and     Use your best-fit line to predict the Year Close Price of the S&P 500 in 2021.   Year Year Open ($) Year Close ($) Annual Percent Change 2005 1202.08 1248.29 3.844170105 2006 1268.08 1418.3 11.84625576 2007 1416.6 1468.36 3.653819003 2008 1447.16 903.25 -37.58464855 2009 931.8 1115.1 19.67160335 2010 1132.99 1257.64 11.00186233 2011 1271.87 1257.6 -1.121970013 2012 1277.06 1426.19 11.67760324 2013 1462.42 1848.36 26.39050341 2014 1831.98 2058.9 12.38659811 2015 2058.2 2043.94 -0.692838402 2016 2012.66 2238.83 11.23736746 2017 2257.83 2673.61 18.41502682 2018 2695.81 2506.85 -7.009396063 2019 2510.03 3230.78 28.71479624 2020 3257.85 3756.07 15.2929079

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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  • Find the best-fit line for Year Close Price, y, at x years since 2005;

 

 

  • Calculate the value of the Correlation Coefficient for Year Close Price, y, at x years since 2005; and

 

 

  • Use your best-fit line to predict the Year Close Price of the S&P 500 in 2021.

 

Year Year Open ($) Year Close ($) Annual Percent Change
2005 1202.08 1248.29 3.844170105
2006 1268.08 1418.3 11.84625576
2007 1416.6 1468.36 3.653819003
2008 1447.16 903.25 -37.58464855
2009 931.8 1115.1 19.67160335
2010 1132.99 1257.64 11.00186233
2011 1271.87 1257.6 -1.121970013
2012 1277.06 1426.19 11.67760324
2013 1462.42 1848.36 26.39050341
2014 1831.98 2058.9 12.38659811
2015 2058.2 2043.94 -0.692838402
2016 2012.66 2238.83 11.23736746
2017 2257.83 2673.61 18.41502682
2018 2695.81 2506.85 -7.009396063
2019 2510.03 3230.78 28.71479624
2020 3257.85 3756.07 15.2929079
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