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 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; the data points do not show any trend.

You can determine the trend by observing the direction of the data points; if they rise from left to right, it's positive; if they fall, it's negative.

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

The slope of a trend line indicates the rate of change between the two variables; a steeper slope means a stronger relationship.

The purpose of using a scatter plot is to visually display the relationship between two variables and to identify patterns or trends.

A cluster of points indicates that there is a concentration of data values in that area, suggesting a possible relationship.

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