![]() Positive Correlation – If the slope starts from the bottom left and ends on the upper right the correlation is positive.Let’s go over the different ways to read a scatter plot. It doesn’t matter if you are plotting education vs salary, or hours spent studying vs final grades on a test, these graphs show a few common trends. When reading a scatter plot you need to look at the direction, slope, and strength of the data points. The closer the data points come to making a straight line means the correlation between the two variables is higher, or the relationship is stronger. ![]() The relationship between two variables is referred to as their correlation. Therefore, they show two dimensions at once! Each point is plotted based on the values of each axis. They consist of two axes and plotted data points, with each point on the scatter plot corresponding to one value of the data set. Scatter plots were the first truly two-dimensional (2D) graphs. But, scatter plots have a very unique purpose – they show how one variable affects another, meaning you can visualize relationships and trends in the data. Scatter plots, a lot like line graphs, use horizontal and vertical axes to plot data points. In fact, nobody is widely credited for having invented the scatter plot. Unlike the pie chart, line graph, and bar graph, scatter plots were not invented by Scottish engineer and political economist William Playfair. While it’s generally accepted that scatter plots are incredibly useful, historians don’t know quite where they came from. “ Of all the graphic forms used today, the scatter plot is arguably the most versatile, polymorphic, and generally useful invention in the history of statistical graphics.” – Michael Friendly and Daniel Denis, Journal of the History of the Behavioral Sciences
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