This relationship can be between two causes or a cause and an effect. Scatter diagrams are useful in determining the relationship between two variables. Data coverage should be wide for plotting a scatter chart.The more the data resemble a straight line, the stronger the correlation.You can plot the scatter diagram when you have a large amount of data.It can be a coincidence or caused by a third variable. It is not always guaranteed that two variables share a relationship if the chart shows a correlation.Points to Remember While Plotting Scatter Diagram For example, if there is any relation between the temperature rise with the equipment malfunctioning. To figure out if two variables share a relation.For example, working hours versus earnings. If two variables pair well together, you can draw a scatter plot to see their relation and correlation.You should use the scatter diagram in the following cases: The range of data flow, like the maximum and minimum values, can be determined.It is the best method to map out a non-linear pattern.It shows the relationship between two variables.This chart does not show you the relationship for more than two variables.It only shows the quantitative expression of quantitative change. A scatter diagram does not show a quantitative measurement of the relationship between the variables.Scatter diagrams cannot give you the exact extent of potential correlation.In either case, the independent variable does not affect the second variable it is not dependent. SCATTER CHART SERIESIt might be a series of points with no visible trend or a straight, flat row of points. There isn’t any relationship between the two variables to be seen. This diagram is known as the “Scatter Diagram with Zero Degree of Correlation.”Īs the value of X increases, the value of Y will decrease, but the pattern is not clear.
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