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{{ printedBook.courseTrack.name }} {{ printedBook.name }} If there is a statistical connection between two parameters of data such that a change in one is associated with a change in the other, they are said to be *correlated*. For instance, from childhood until adulthood, there is a correlation between age and height; older people are generally taller and taller people are generally older.

If two quantities *correlate* in such a way that an increase of one quantity is associated with an increase in the other, they are said to be *positively correlated*. Likewise, an increase in one quantity associated with a decrease in the other is called a *negative correlation*.

The more the data points appear to follow a specific trend, the more correlated they are. If they are situated almost exactly on a line, the quantities are said to be *strongly correlated*, while if they are more spread out, the quantities are *weakly correlated*.