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 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.

No correlation means there is no apparent relationship between the two variables; changes in one variable do not predict changes in the other.

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; a tighter cluster indicates a stronger correlation.

Scatter plots are used to visually assess the relationship between two variables and to identify trends, patterns, or outliers in data.

If the line of best fit slopes upwards, it indicates a positive relationship between the two variables.

If the line of best fit slopes downwards, it indicates a negative relationship between the two variables.

An outlier is a data point that significantly differs from other observations in the scatter plot, potentially indicating an anomaly.