PSYCHOLOGY OF EMOTIONS

Detailed explanation-1: -A negative correlation is a relationship between two variables such that as the value of one variable increases, the other decreases. Correlation is expressed on a range from +1 to-1, known as the correlation coefficent. Values below zero express negative correlation.

Detailed explanation-2: -Negative correlation is a relationship between two variables in which one variable increases as the other decreases, and vice versa. In statistics, a perfect negative correlation is represented by the value-1.0, while a 0 indicates no correlation, and +1.0 indicates a perfect positive correlation.

Detailed explanation-3: -The correlation coefficient is measured on a scale that varies from + 1 through 0 to – 1. Complete correlation between two variables is expressed by either + 1 or-1. When one variable increases as the other increases the correlation is positive; when one decreases as the other increases it is negative.

Detailed explanation-4: -A positive correlation is a relationship between two variables that move in tandem-that is, in the same direction. A positive correlation exists when one variable decreases as the other variable decreases, or one variable increases while the other increases.

Detailed explanation-5: -This is an example of a negative correlation: as one variable increases, the other decreases. A positive correlation is where the two variables react in the same way, increasing or decreasing together.