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# Scatterplots

ScatterplotsÂ are used to display the relationship between two variables.

Suppose we have the following dataset that shows the weight and height of players on a basketball team:

The two variables in this dataset are height and weight. To make a scatterplot, we place the height along the x-axis and the weight along the y-axis. Each player is then represented as a dot on the scatterplot:

Scatterplots help us see relationships between two variables. In this case, we see that height and weight have a positive relationship. As height increases, weight tends to increase as well.

## Interpreting Scatterplots

Scatterplots help us see the relationship (positive, negative, none) between two variables as well as the strength of that relationship (weak, strong).

Strong, positive relationship: As the variable on the x-axis increases, the variable on the y-axis increases as well. The dots are packed together tightly, which indicates a strong relationship.

Weak, positive relationship:
Â As the variable on the x-axis increases, the variable on the y-axis increases as well. The dots are fairly spread out, which indicates a weak relationship.

No relationship:Â There is no clear relationship (positive or negative) between the variables.Â

Strong, negative relationship:Â As the variable on the x-axis increases, the variable on the y-axis decreases. The dots are packed tightly together, which indicates a strong relationship.

Weak, negative relationship:Â As the variable on the x-axis increases, the variable on the y-axis decreases. The dots are fairly spread out, which indicates a weak relationship.

## Scatterplot Generator

Use the freeÂ Statology scatterplot generatorÂ to generate a scatterplot for a dataset simply by entering data values.