Examples Scatterplot from NC State University Scatterplots can visually show the strength of the relationship between the variables (i.e., the “scatter” in the plot: the more concentrated the dots are along the line, the stronger the relationship) whether there is a positive or negative association between the variables (i.e., whether the slope is positive or negative) whether the data pattern is linear (straight) or nonlinear (curved) and whether unusual features such as outliers, clusters and gaps exist in the data sets. Scatterplots are used to analyse patterns of the relationship between two sets of continuous data. The regression line can be used, in some circumstances, as a predictive tool. The line of the scatterplot represents the trend of the relationship between the two variables, rather than joining the dots together as with a line graph. Usually scatterplots have a single line (called a regression line) running through them. If no dependent variable exists, either type of variable can be plotted on either axis in this case, the scatter plot will illustrate only the degree of correlation (and not causation) between two variables. The independent variable is generally plotted along the horizontal (X) axis, and the dependent (or responsive) variable along the vertical (Y) axis. A series of dots represent the position of observations from the data set. A Scatterplot is used to display the relationship between two quantitative variables plotted along two axes.
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