Correlation between Self-Esteem and Depression - Assignment Example

X influences y or in other words, y depends on x. The value of correlation ranges from -1 passing 0 to +1. The -1 value is considered a negative perfect correlation. The +1 value is considered a positive perfect correlation.

The existence of a positive correlation between the two variables means that for every increase of x, there is a corresponding increase of y. On the other hand, the negative correlation indicates that for every increase of x, there is a decrease of y and vice versa. There is an inverse relationship.

In the case of Tom’s data, the existence of an inverse relationship is not remarkable due to a 0.64 correlation between the levels of self-esteem and the levels of depression. This correlation could mean that for every increase in the level of self-esteem, there is also a corresponding increase in the level of depression, or conversely, the increase of the levels of depression results in a significant increase in the levels of self-esteem too.