As one variable increases, the other decreases. Negative - This is when the variables move in opposite directions. Height and shoe size as an example are positively correlated. As one variable increases so does the other. Positive - This is when the variables move in the same direction. There are generally three types of correlation to look for: The direction is determined by whether the correlation is positive or negative and the numeric value is determined by the strength of a correlation. Correlations have two properties, direction and strength. There are different types of correlation that a scatter chart will show.
In this type of chart the closer the plotted points are to making a straight line the stronger the relationship is between the two variables. The type of data used in this chart is generally statistical or scientific, and can suggest various kinds of correlation between the variables. A good example of this can be seen below. This is a very powerful type of chart and good when your are trying to show the relationship between two variables (x and y axis), for example a person's weight and height. A scatter chart works best when comparing large numbers of data points without regard to time.
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