To determine the type of association shown in a scatterplot, we can examine the trend of the data points. If the data points appear to form a linear pattern from the bottom left to the top right, it suggests a positive linear association. Conversely, if the data points form a linear pattern from the top left to the bottom right, it indicates a negative linear association. If the data points do not follow a clear linear pattern but instead appear to cluster in a certain shape (e.g. a curve or a cluster), it suggests a non-linear association.
By identifying the pattern formed by the data points in the scatterplot, we can determine the type of association displayed in the data.
intercept the scatterplot to determine what type of association the scatterplot shows
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