It means that when THIS happens, THAT usually, but not always, doesn't.
Chat with our AI personalities
A positive correlation coefficient means that as the value of one variable increases, the value of the other variable increases; as one decreases the other decreases. A negative correlation coefficient indicates that as one variable increases, the other decreases, and vice-versa.
This means that the correlation is negative but still significant.
That as one variable increases so does the other
correlation measure the strength of association between to variables.but some times both variables are not in same units.so we cannot measure it with the help of correlation. in this case we use its coefficent which mean unit free. that,s why we use it.
It means that the two variables are likely dependent. The higher the number of the positive correlation the stronger the connection.