Interpret the scatterplot to determing what type of association the scatterplot shows?
To determine the type of association shown in a scatterplot, you need to examine the overall pattern and direction of the data points plotted. A scatterplot displays the relationship between two variables, and the type of association can be categorized as positive, negative, or no association.
Positive association:
In a scatterplot with a positive association, the data points generally tend to increase as you move from left to right. This indicates that as one variable increases, the other variable also tends to increase. The points form a pattern that slopes upwards from left to right.
Negative association:
In a scatterplot with a negative association, the data points generally tend to decrease as you move from left to right. This indicates that as one variable increases, the other variable tends to decrease. The points form a pattern that slopes downwards from left to right.
No association:
In a scatterplot with no association, there is no clear pattern or slope in the data points. The points appear randomly scattered, indicating that there is no relationship between the two variables. The points may be spread out in different directions or form a cluster with no specific trend.
Therefore, by examining the scatterplot and observing the overall pattern and direction of the data points, you can determine whether the scatterplot shows a positive association, negative association, or no association between the variables.