Scatter Plots

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

The line of best fit shows the general direction that the data points follow, helping to identify trends in the data.

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

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

An outlier is a data point that is significantly different from the other points, often lying far away from the main cluster.

A scatter plot shows a linear relationship if the data points roughly form a straight line.

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

Scatter plots are used to visually display the relationship between two quantitative variables and to identify trends, patterns, or correlations.

Correlation indicates a relationship between two variables, while causation means that one variable directly affects the other.

Data points are the individual values plotted on the graph, representing the relationship between the two variables.