Statistics – Scatterplots

A scatterplot is a graphical way to display the relationship between two quantitative sample variables. It consists of an X axis, a Y axis and a series of dots where each dot represents one observation from a data set. The position of the dot refers to its X and Y values.


Patterns of Data in Scatterplots

Scatterplots are used to analyze patterns which generally varies on the basis of linearity, slope, and strength.

·        Linearity – data pattern is either linear/straight or nonlinear/curved.

Linearity in scatterplots

·        Slope – direction of change in variable Y with respect to increase in value of variable X. If Y increases with increase in X, slope is positive otherwise slope is negative.

Slope in scatterplots

·        Strength – Degree of spreadness of scatter in the plot. If dots are widely dispersed, the relationship is consider weak. If dot are densed around a line then the relationship is said to be strong.

Strength in scatterplots

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