When two variables are correlated negatively, the other variable's value falls as the value of the first variable rises.
Express the term negative correlation?
When two variables are correlated negatively, the other variable's value falls as the value of the first variable rises.
- The correlation coefficent, which expresses correlation on a scale from +1 to -1, is used.
- Values less than 0 indicate a negative connection.
- An increase in one variable confidently foretells a drop in the other when there is a perfect negative correlation, with a coefficient of -1.
- An rise or decrease inside one variable consistently forecasts the same directional shift for the second variable, according to a perfect positive correlation that has a coefficient of +1.
- Non-zero coefficients between -1 and +1 are used to show lower degrees of connection.
Zero denotes the absence of a correlation: There is no propensity is for variables to change simultaneously.
Thus, when two variables are correlated negatively, the other variable's value falls as the value of the first variable rises.
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