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The scatter diagram graphs pairs of numerical data, with one variable on each axis, to look for a relationship between them. If the variables are correlated, the points will fall along a line or curve. The better the correlation, the tighter the points will hug the line.
Examining X-Y (Scatter) Plots The Title. The title offers a short explanation of what is in your graph. The Legend. The legend tells what each point represents. The Source. The source explains where you found the information that is in your graph. Y-Axis. The Data. X-Axis.
Use a scatter plot when you have two variables that pair well together. If you have two variables that pair well together, plotting them on a scatter diagram is a great way to view their relationship and see if its a positive or negative correlation.
A scatter plot shows the relationship between two continuous variables, x and y. The values for each variable correspond to positions on the x- and y-axis respectively. A dot or some other symbol is placed at the (x, y) coordinates for each pair of variables.
A scatterplot shows the relationship between two quantitative variables measured for the same individuals. The values of one variable appear on the horizontal axis, and the values of the other variable appear on the vertical axis. Each individual in the data appears as a point on the graph.
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Scatter plots are good for plotting raw data that dont occur in discrete steps (eg body weight and height). If there is a strong relationship between two variables (eg high correlation), it will be visually apparent.
To construct a scatter diagram: Assign the independent variable to the horizontal or x -axis. Assign the dependent variable to the vertical or y -axis. Plot the points on an (x,y) -grid. Label the axes, including both the variable names and units.

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