What is a scatterplot used for in correlation and regression analysis?
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A scatterplot is a graphical tool used in correlation and regression analysis to display the relationship between two variables. Each point on the scatterplot represents a pair of values for the two variables, with one variable plotted on the x-axis and the other on the y-axis. By looking at the pattern of the points, you can quickly see if there is a correlation (a relationship) between the variables. If the points form a clear upward or downward trend, it indicates a positive or negative correlation, respectively. Scatterplots help visualize how changes in one variable may relate to changes in another, making them essential for understanding relationships before applying regression analysis.
A scatterplot visually represents the relationship between two variables, showing how one variable is affected by another.