**Scatterplots** 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:** 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: **There is no clear relationship (positive or negative) between the variables.

**Strong, negative relationship: **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:** 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 free Statology scatterplot generator to generate a scatterplot for a dataset simply by entering data values.