Correlation Example
This is an example showing how to find the relationship between height and self esteem.
| Person | Height | Self Esteem |
| 1 | 68 | 4.1 |
| 2 | 71 | 4.6 |
| 3 | 62 | 3.8 |
| 4 | 75 | 4.4 |
| 5 | 58 | 3.2 |
| 6 | 60 | 3.1 |
| 7 | 67 | 3.8 |
| 8 | 68 | 4.1 |
| 9 | 71 | 4.3 |
| 10 | 69 | 3.7 |
| 11 | 68 | 3.5 |
| 12 | 67 | 3.2 |
| 13 | 63 | 3.7 |
| 14 | 62 | 3.3 |
| 15 | 60 | 3.4 |
| 16 | 63 | 4.0 |
| 17 | 65 | 4.1 |
| 18 | 67 | 3.8 |
| 19 | 63 | 3.4 |
| 20 | 61 | 3.6 |
We can see that the relationship between the variables is a positive one. A positive relationship means that higher score on one variable tend to be paired with higher scores on the other.
Calculating the Correlation
The above is a graphical method to show the relationship. Actually, there is a method to compute a value to represent the relationship, that is correlation coefficient.
We user the symbol r to stand for the correlation. Through the magic of mathematics, it turns out that r will always be between -1.0 and +1.0.If the correlation is negative, we have a negative relationship.
The correlation Matrix
In most studies, we have considerably more than two variables.
From: http://www.socialresearchmethods.net/kb/statcorr.php
From: http://www.socialresearchmethods.net/kb/statcorr.php
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