Correlation implies affiliation - all the more unequivocally it is a proportion of the degree to which two factors are connected.
There are three possible consequences of a correlational report:
a positive correlation, a negative correlation, and no correlation.
- A positive correlation is a connection between two factors where the two factors move in a similar bearing. Thusly, when one variable increment as the other variable increments or one variable reduction while different declines. An illustration of positive a correlation would be tallness and weight. Taller individuals will generally be heavier.
- A negative correlation is a connection between two factors where an expansion in one variable is related to a lessening in the other. An illustration of negative correlation would be tallness above ocean level and temperature. As you climb the mountain (expansion in stature) it gets colder (decline in temperature).
- A zero correlation exists when there is no connection between two factors. For example, there is no connection between how much tea is smashed and the level of insight.