A negative correlation highlights the similarity of opposites. In a negative correlation, as the value of variable a increases, the value of variable b decreases. It can work the other way too, as the value of a decreases, the value of b increases.
A negative correlation is also routinely referred to as an inverse.
For instance, every time a person goes to jail, there is one less person in the work force.
Therefore, incarceration rates, and work force numbers have an inverse relationship.
positive correlation-negative correlation and no correlation
The graph follows a very strong downward trend. Would have helped if you specified which correlation coefficient; there are different types.
A negative correlation means that two variables are inversely related. This means that as one variable increases the other decreases. When a negative correlation is plotted, it forms a downward slanting line.
In a negative correlation as one factor is decreased, the other factor is increased.
The correlation can be anything between +1 (strong positive correlation), passing through zero (no correlation), to -1 (strong negative correlation).
This means that the correlation is negative but still significant.
that you're stupid
Positive correlation has a positive slope and negative correlation has a negative slope.
Positive correlation = positive association Negative correlation = negative association
No.
positive correlation-negative correlation and no correlation
It means that when THIS happens, THAT usually, but not always, doesn't.
It's a negative correlation because it is less than 0
the negative sign on correlation just means that the slope of the Least Squares Regression Line is negative.
A positive correlation between two variables, say X and Y, means that if one increases, the other will too. No correlation means that they are not related. A negative correlation means that as one increases, the other decreases. Normally you will see this in studies as "Recent studies demonstrated a positive correlation between eating too much and obesity." Or, "recent studies demonstrate a negative correlation between a healthy, balanced diet and obesity".
A positive correlation.
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).