Correlations are mathematical relationships between variables. You
can identify correlations on a scatter diagram by the distinct
patterns they form. The correlation is said to be linear if the scatter
diagram shows the points lying in an approximately straight line.
Let’s take a look at a few common types of correlation between
two variables:
Positive linear correlation (r=0 to 1)
Positive linear correlation is when low values on the x-axis
correspond to low values on the y-axis, and higher values of x
correspond to higher values of y. In other words, y tends to
increase as x increases.
Negative linear correlation(r= -1 to 0)
Negative linear correlation is when low values on the x-axis
correspond to high values on the y-axis, and higher values of x
correspond to lower values of y. In other words, y tends to
decrease as x increases.
No correlation(r=0)
If the values of x and y form a random pattern, then we say there’s
no correlation.