Scatter Plot Correlation/Predictions

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

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

No correlation means there is no apparent relationship between the two variables; changes in one variable do not predict changes in the other.

A positive correlation can be identified by a trend line that slopes upwards from left to right.

A negative correlation can be identified by a trend line that slopes downwards from left to right.

A trend line is a straight line that best represents the data points in a scatter plot, showing the general direction of the relationship between the variables.

You can use a trend line to predict the value of one variable based on the value of another by finding the corresponding point on the line.

The purpose of analyzing scatter plots is to understand the relationship between two variables and to make predictions based on that relationship.

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