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.

It means that as the x-values change, the y-values do not show any consistent pattern or trend.

A positive correlation occurs when, as one variable increases, the other variable also increases, resulting in an upward trend in the scatter plot.

A negative correlation occurs when, as one variable increases, the other variable decreases, resulting in a downward trend in the scatter plot.

A linear relationship appears as a straight line, indicating a consistent rate of change between the two variables.

A non-linear relationship indicates that the rate of change between the two variables is not constant, and the data points do not form a straight line.

A scatter plot with a strong correlation will have data points that are closely clustered around a straight line, either positively or negatively.

Widely scattered points indicate a weak correlation, meaning there is little to no predictable relationship between the two variables.

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

An outlier is a data point that lies far away from the other points in the scatter plot, which may indicate an unusual observation.