Year 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Total = JALSH (Y) 0.41 0.19 -0.23 0.32 0.19 0.03 0.27 0.21 0.11 0.05 0.00 0.21 1.76 CPI (X) 4.7 7.1 11.5 7.1 4.3 5 5.6 5.7 6.1 4.6 6.4 5.3 73.4 XY 1.927 1.349 -2.645 2.272 0.817 0.15 1.512 1.197 0.671 0.23 0 1.113 8.593 x² 22.09 50.41 132.25 50.41 18.49 25 31.36 32.49 37.21 21.16 40.96 28.09 489.92
Year 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Total = JALSH (Y) 0.41 0.19 -0.23 0.32 0.19 0.03 0.27 0.21 0.11 0.05 0.00 0.21 1.76 CPI (X) 4.7 7.1 11.5 7.1 4.3 5 5.6 5.7 6.1 4.6 6.4 5.3 73.4 XY 1.927 1.349 -2.645 2.272 0.817 0.15 1.512 1.197 0.671 0.23 0 1.113 8.593 x² 22.09 50.41 132.25 50.41 18.49 25 31.36 32.49 37.21 21.16 40.96 28.09 489.92
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Comment on the coefficient of CPI in the model calculated WHERE B0=0.47111 and B1= -0.05304 |
Expert Solution
Step 1:-
The linear regression model is given by,
Y= B0+B1*X
Where Y is variable Jalsh and X is variable CPI.
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Solved in 2 steps
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