The consumption function captures one of the key relationships in economics. It expresses consumption as a function of disposal income, where disposable income is income after taxes. The attached file "Regression-Dataset1" shows data of average US annual consumption (in $) and disposable income (in $) for the years 2000 to 2016. Find the sample linear regression equation for the model. What is the intercept of the model? (Use two decimals)a.2365.7b.2.365c.No intercept d.2333.5

Date Consumption Income Q1, 2000 28634 31192 Q2, 2000 28837 31438 Q3, 2000 29039 31719 Q4, 2000 29220 31742 Q1, 2001 29276 31940 Q2, 2001 29282 31836 Q3, 2001 29313 32504 Q4, 2001 29685 32020 Q1, 2002 29709 32728 Q2, 2002 29795 32821 Q3, 2002 29927 32696 Q4, 2002 30014 32773 Q1, 2003 30084 32796 Q2, 2003 30351 33197 Q3, 2003 30722 33657 Q4, 2003 30887 33713 Q1, 2004 31127 33893 Q2, 2004 31261 34152 Q3, 2004 31481 34247 Q4, 2004 31725 34589 Q1, 2005 31900 34183 Q2, 2005 32178 34380 Q3, 2005 32345 34469 Q4, 2005 32386 34666 Q1, 2006 32677 35380 Q2, 2006 32777 35354 Q3, 2006 32884 35363 Q4, 2006 33134 35734 Q1, 2007 33235 35889 Q2, 2007 33273 35878 Q3, 2007 33335 35880 Q4, 2007 33292 35819 Q1, 2008 33150 35998 Q2, 2008 33134 36677 Q3, 2008 32814 35747 Q4, 2008 32344 35892 Q1, 2009 32167 35752 Q2, 2009 31957 35932 Q3, 2009 32076 35456 Q4, 2009 31999 35328 Q1, 2010 32106 35293 Q2, 2010 32308 35686 Q3, 2010 32451 35791 Q4, 2010 32717 35967 Q1, 2011 32826 36346 Q2, 2011 32836 36228 Q3, 2011 32913 36347 Q4, 2011 32959 36299 Q1, 2012 33104 36832 Q2, 2012 33105 37054 Q3, 2012 33128 36963 Q4, 2012 33156 37860 Q1, 2013 33263 36226 Q2, 2013 33280 36380 Q3, 2013 33370 36522 Q4, 2013 33585 36528 Q1, 2014 33688 36872 Q2, 2014 33946 37289 Q3, 2014 34190 37587 Q4, 2014 34508 37907 Q1, 2015 34659 38033 Q2, 2015 34850 38336 Q3, 2015 35015 38571 Q4, 2015 35147 38785 Q1, 2016 35236 38927 Q2, 2016 35550 39148 Q3, 2016 35743 39354 Q4, 2016 35987 39254