AP PSYCHOLOGY

Detailed explanation-1: -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-2: -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-3: -A positive correlation exists when one variable decreases as the other variable decreases, or one variable increases while the other increases. Because these two different variables move in the same direction, they theoretically are influenced by the same external forces.

Detailed explanation-4: -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. Complete absence of correlation is represented by 0.

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.