To determine the type of association shown in a scatterplot, we need to examine how the data points are distributed. If the data points form a pattern where they tend to increase or decrease together, then there is a positive or negative association, respectively. If there is no clear pattern and the data points are scattered randomly, then there is no association.
If the scatterplot shows a clear pattern where as one variable increases, the other variable also increases, then it shows a positive association. Conversely, if as one variable increases, the other variable decreases, then it shows a negative association.
In conclusion, by examining the scatterplot and seeing how the data points are distributed, we can determine the type of association shown in the scatterplot.
Interpret the scatterplot to determine what type of association the scatterplot shows.(1 point)
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