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.

A strong positive correlation indicates that as one variable increases, the other variable also increases significantly.

A strong negative correlation indicates that as one variable increases, the other variable decreases significantly.

A cluster in a scatter plot is a group of data points that are close together, indicating a concentration of values in that area.

Clusters can be identified by looking for areas where data points are densely packed together compared to other areas.

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 trend line to predict values by extending the line and finding where it intersects with the value of interest.

A positive slope indicates that there is a positive correlation between the two variables, meaning they increase together.

A negative slope indicates that there is a negative correlation between the two variables, meaning one increases while the other decreases.

No association means that there is no discernible pattern or correlation between the two variables.