Scatter graphs are used for displaying pairs of related variables.
For example: The graph on the right shows the relationship between the variables height and weight. You can see as a person's height gets taller generally so does this weight.
On a scatter graph the independent variable goes on the x-axis, and the dependent variable goes on the y-axis.
An indendent variable is variable that is changed or controlled in a scientific experiment.
A dependent variable is dependent on the independent variable. This means that the independent variable has an effect on the dependent variable.
As an example we wanted to test to see if the temperature of water has an effect on how quickly an ice cube melts. The independent variable would be water temperature (it is something we have control over), and the dependent variable will be the time it takes to melt (dependent on the temperature of water).
Positive Relationship
Negative Relationship
No Relationship
Strong Relationship
Moderate Relationship
Weak Relationship
No Relationship
For example when describing the relationship in this case:
There is a moderate positive relationship between height and weight. This means that as a persons height increases so to typically will their weight.
However since the relationship is a moderate relationship we see a bit of variation. The points that are well below the others in the area shows someone that is lighter than most people their height. This could be due to considered tall and lean. While people far above the line are heavier than others about their height, this could be due to having a large muscle mass from being an athlete meaning they are heavier.