![]() Scatter Plot Exampleīelow you can see the scatter plot example which will help you to understand the concept of scatter plot. This coincidence might introduce an apparent correlation. Both variables can have relation with some other variable i.e.the third variable, hence determining their variation. However, even though a correlation may seem to be present, this case might not always be possible. If the points are equally distributed in the scatter plot, the correlation is said to be low, or zero. If the points are close to each other and making a straight line in the scatter plot, then two variables are said to have a high correlation. The relationship between the two variables is known as correlation. Hence, including another dimension to the plot. Each row in the data table is represented by a point whose position relies on its values in the columns set on the X and Y-axis.Ī third variable can represent the color or size of the pointers. ![]() The figure below shows an example of a line of best fit where an outlier located at (3.5, 5.5) is ignored since most of the points are relatively close together except for said point.Scatter plots are used to represent data points on a horizontal and a vertical axis with a view to show how much one variable is affecting another varaible.
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