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
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Author:Amos Gilat
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Question

Comment on the coefficient of CPI in the model calculated WHERE B0=0.47111 and B1= -0.05304

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
Transcribed Image Text: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
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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