Scatter plots are useful diagrams that show the relation of two variables. The explanatory variable, or independent variable, is labeled on the X axis. The Y axis denotes the response, or dependent variable. A good example of data that may be effectively expressed in a scatter plot is a weight vs height plot. Height would be the independent variable, and it makes sense to think that taller people are generally heavier. Therefore height dictates wight to some extent. However, not everyone who is exactly six feet tall is not also exactly 170 pounds. By plotting the intersecting points of our data set, in this example the height and weight of several individuals, we can begin to see a trend in the data.
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