Negative relationship

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When 3π /2 > θ > π /2 , then cos(θ) < 0.

In statistics, there is a negative relationship or inverse relationship between two variables if higher values of one variable tend to be associated with lower values of the other. A negative relationship between two variables usually implies that the correlation between them is negative, or — what is in some contexts equivalent — that the slope in a corresponding graph is negative. A negative correlation between variables is also called anticorrelation or inverse correlation.

Negative correlation can be seen geometrically when two normalized

Diametrically opposed
points represent a correlation of –1 = cos(π). Any two points not in the same hemisphere have negative correlation.

An example would be a negative

cross-sectional relationship between illness and vaccination, if it is observed that where the incidence of one is higher than average, the incidence of the other tends to be lower than average. Similarly, there would be a negative temporal
relationship between illness and vaccination if it is observed in one location that times with a higher-than-average incidence of one tend to coincide with a lower-than-average incidence of the other.

A particular inverse relationship is called inverse proportionality, and is given by where k > 0 is a

Cartesian plane this relationship is displayed as a hyperbola with y decreasing as x increases.[2]

In finance, an inverse correlation between the returns on two different assets enhances the risk-reduction effect of diversifying by holding them both in the same portfolio.

See also

References

  1. University of Hawaii
  2. ^ The derivative is negative for positive real numbers x and as well for negative real numbers. Thus the slope is everywhere negative except at the singularity x = 0.

External links