Creating 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 x-axis typically represents the independent variable, which is the variable that is manipulated or changed.

The y-axis typically represents the dependent variable, which is the variable that is measured or observed.

A line of best fit is a straight line that best represents the data on a scatter plot, used to make predictions.

You can determine the correlation by observing the direction and pattern of the data points: positive correlation (upward trend), negative correlation (downward trend), or no correlation (no clear trend).

A positive correlation indicates that as one variable increases, the other variable also increases.

A negative correlation indicates that as one variable increases, the other variable decreases.

The purpose of a trend line is to summarize the relationship between the variables and to help make predictions.

You can use a scatter plot to make predictions by extending the trend line to estimate values for the dependent variable based on the independent variable.

Outliers are data points that differ significantly from other observations and can affect the overall trend and predictions.