A negative correlation is said to exist when as one covariate increases the other covariate decreases. An excellent example of a negative correlation would be number of hours spent socialising by a group of students and their eventual examination mark. Going out too much seriously jeopardises your examination success.

a relationship between two variables wherein increases in the value of one variable are associated with decreases in the value of the other variable

a correlation in which large values of one variable are associated with small values of the other; the correlation coefficient is between 0 and -1

an indication that as the values on one variable goes up, the values on the other variable go down

A relationship between two factors (called variables) where a positive change of one creates a negative change of the second.

A correlation is a measure of the strength and direction of the association between two variables. A negative correlation between two variables implies that as one variable gets bigger the value of the other variable becomes smaller.

a direct relationship between two variables in which an increase in one variable is always accompanied by a decrease in the other variable, and vice versa. See: variable, correlation, positive correlation.

a correlation between two variables in which the variables tend to change in opposite directions. (46)

(r-values between 0.0 and -1.0): Associations where large values on one variable are more likely to be paired with small values on another variable than would occur by chance. The less likely the pairings are to be independent of each other, the closer the correlation coefficient is to -1.0. Ex: Reported frequency of brushing has about a -.30 correlation with pocket depths and water fluoridation has about a -.60 correlation with DMF. [See correlation coefficient