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 association indicates that as one variable increases, the other variable also tends to increase.

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

'No association' means that there is no discernible relationship between the two variables being plotted.

A positive association can be identified by a pattern where points slope upwards from left to right.

A negative association can be identified by a pattern where points slope downwards from left to right.

It means that changes in one variable do not predict changes in the other variable.

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

An example of a positive association is the relationship between hours studied and test scores, where more study hours generally lead to higher scores.

An example of a negative association is the relationship between the amount of time spent on social media and grades, where more time on social media may lead to lower grades.