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 linear relationship indicates that as one variable increases or decreases, the other variable does so in a consistent manner, forming a straight line when graphed.

Correlation refers to the strength and direction of a relationship between two variables, which can be positive, negative, or nonexistent.

In a positive correlation, as one variable increases, the other variable also increases, resulting in a pattern that slopes upwards from left to right.

In a negative correlation, as one variable increases, the other variable decreases, resulting in a pattern that slopes downwards from left to right.

No correlation means there is no discernible relationship between the two variables, and the data points are scattered randomly.

The x-axis is the horizontal axis that typically represents the independent variable in a scatter plot.

The y-axis is the vertical axis that typically represents the dependent variable in a scatter plot.

A trend line can be used to summarize the relationship between the variables and to make predictions about future data points.

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