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Ford GE Amazon
2016 10 - 6 2
2017 - 5 13 6
2018 14 - 5 1
2019 - 7 18 7
#1 Find the sample correlation coefficient of the return on Ford and the return on GE.
a. |
- .5739 |
|
b. |
- .6833 |
|
c. |
- .9785 |
|
d. |
none of these |
#2 What is the sample correlation coefficient of the return on GE and the return on Amazon.
.3218 |
||
.4163 |
||
.9849 |
||
None of these |
1) The correct answer is option C i.e. -.9785
2) The correct answer is option C i.e. .9849
Year | Ford | GE | Amazon | (Ford-Mean of Ford)*(GE-Mean of GE) | (GE-Mean of GE)*(Amazon-Mean of Amazon) | |
2016 | 10 | -6 | 2 | -77 | 22 | |
2017 | -5 | 13 | 6 | -64 | 16 | |
2018 | 14 | -5 | 1 | -110 | 30 | |
2019 | -7 | 18 | 7 | -130 | 39 | |
Mean | 3 | 5 | 4 | => average of returns | ||
Standard Deviation | 10.5515 | 12.3018 | 2.9439 | => using STDEV.S formula | ||
Total of (Ford-Mean of Ford)*(GE-Mean of GE) | -381 | 107 | ||||
Correlation Coefficient between Ford
and GE Total /[ (n-1)*standard Deviation of Ford*standard Deviation of GE] |
-0.9785 | =>-381/((3*10.5515*12.3018) | ||||
Correlation Coefficient between GE and
Amazon Total / [(n-1)*standard Deviation of GE*standard Deviation of Amazon] |
0.9849 | =>107/(3*12.3017*2.9439) |
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