Question: The provided data set regression-consumption provides information about the disposal income (income after taxes) and consumption during the period from 2000 to 2016. An exponential
The provided data set "regression-consumption" provides information about the disposal income (income after taxes) and consumption during the period from 2000 to 2016. An exponential smoothing estimate for the disposable income in Q1 2017 is (consider alpha 0.7):
Select one:a.
39258
b.
39148
c.
39252
d.
39354
| 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 |
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