The type of association shown in a scatterplot can be determined by looking at the overall trend of the points.
1. Positive association: If the points on the scatterplot generally form a pattern that slopes upward from left to right, this indicates a positive association. This means that as one variable increases, the other variable also tends to increase.
2. Negative association: If the points on the scatterplot form a pattern that slopes downward from left to right, this indicates a negative association. This means that as one variable increases, the other variable tends to decrease.
3. No association: If the points on the scatterplot do not show any clear pattern or trend, this indicates no association between the two variables. This means that there is no relationship between the variables being plotted.
By interpreting the scatterplot and determining the type of association, you can gain insights into the relationship between the variables being studied.
Scatter Plots & Data Analysis Unit Test
Interpret the scatterplot to determine what type of association the scatterplot shows
1 answer
1 answer