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

A positive correlation indicates that as one variable increases, the other variable also tends to increase.

A negative correlation indicates that as one variable increases, the other variable tends to decrease.

The line of best fit is a straight line that best represents the data on a scatter plot, showing the general direction of the data points.

The strength of a correlation can be determined by how closely the data points cluster around the line of best fit; tighter clustering indicates a stronger correlation.

No correlation means that there is no apparent relationship between the two variables; the data points are scattered randomly.

You can use a scatter plot to make predictions by extending the line of best fit to estimate values for one variable based on known values of the other variable.