intercept the scatterplot to determine what type of association the scatterplot shows
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.