Scatter Plots

A scatter plot is a graph that shows the relationship between two quantitative variables by displaying data points on a two-dimensional axis.

The x-axis typically represents the independent variable, which is the variable that is manipulated or changed.

The y-axis typically represents the dependent variable, which is the variable that is measured or observed.

A positive association means that as one variable increases, the other variable also increases, resulting in an upward trend.

A negative association means that as one variable increases, the other variable decreases, resulting in a downward trend.

No correlation means there is no apparent relationship between the two variables, and the data points do not show any clear trend.

The trend can be identified by observing the overall direction of the data points; whether they slope upwards, downwards, or remain scattered.

A trend line is a straight line that best represents the data points in a scatter plot, showing the general direction of the data.

You can use a scatter plot to make predictions by extending the trend line to estimate values for the dependent variable based on the independent variable.

Scatter plots are used to visually represent the relationship between two variables, helping to identify patterns, trends, and correlations.