There is a positive linear correlation when the variable on the x-axis increases as the variable on the y-axis increases. This is shown by an upwards sloping straight regression line.
There is a negative linear correlation when one variable increases as the other variable decreases. This is shown by a downwards sloping straight regression line
There is a non-linear correlation when there is a relationship between variables but the relationship is not linear (straight).