The correlation of two variables is a relationship between the two variables. If the relationship between two variables is close, then it is a good idea that the two variables are similar in some way.
The thing that makes correlation a bad thing is the fact that correlation is, well, correlation. If you have a correlation of +1, +2, and +3 and then you have some random number “r”, that means that the two numbers are correlated, but that doesn’t guarantee that they will be correlated in the same way. It just means that the correlation between them is close to 0.
The correlation between two variables is a measure of their association. The closer the two variables are related, the better it is that they are similar. A good example is, if you have a correlation of 0.2 between your height and your weight, and then you take a random number between 0 and 5, you should be able to predict that if you have a height of 5 and a weight of 15, you will have a weight of 15.
A correlation of 0.2 is the right correlation between two variables. It is a very small correlation. A good example is our height and weight example. If we had a correlation of 0.2 between those variables, we would expect that our height of 5 and our weight of 15, should be able to predict our weight of 15. And that would be a large positive correlation.
A good example of random relations in our life is the pattern that we see in our friends and family. A correlation of 0.2 here means that if we had a friend with a height of 5 and a weight of 15, we would expect that he or she would have a weight of 15. It’s not really that big of a difference, but it’s nice to know that the pattern we see in our friends and family is actually the pattern we see in our life.
You may get it wrong, but a correlation of 0.2 is very small. To get a good overall picture of how these random relations play out in our life, you really need to make a graph of all the relationships in your life. Then you can look at where these relationships are.
