A scatter diagram is one of seven essential project management tools. It is used to plan and monitor operations in order to improve quality-related concerns in a company. Scatter diagrams are graphical tools for statistical analysis. They are simple to use and aid in the improvement of corporate processes. To learn more about PMP development, join the PMP Course in Bangalore at FITA Academy, which will provide you with a diverse skill set and the best Placement Training. In this blog, I’ll explain A Quick Guide to Scatter Diagrams in Project Management.

In contrast to standard charts and graphs, scatter diagrams use dots to represent data rather than lines or bars. Although it may appear challenging at first, scatter diagrams are easy to grasp if you take your time. 

What is a scatter diagram?

A scatter diagram is a graph that depicts the relationship between two variables for a set of numerical data. It illustrates the relationship between a process component on one axis and a quality fault on the other to aid in process optimisation.

A scatter diagram depicts the relationship between a change in a dependent variable Y and a change in an independent variable X. How can we tell which variable is the response and which is the independent variable?  

In general, the independent variable attempts to explain or predict an observed result. The outcome is measured by the response variable. If the variables are correlated, the points on the graph will fall along a line or curve. 

When one variable is measurable but the other is not, a scatter chart can be useful. After determining how the variables are related, you may forecast the behaviour of the dependent variable based on the independent variable. 

When would you use a scatter plot?

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A scatter plot is a great tool for quality planning and measurement when:

• You have paired numerical data.
• Each independent variable value may have multiple values for your dependent variable.
• determining objectively whether a cause and effect are linked
• determining whether or not two seemingly identical events are caused by the same entity
• The first variable can be measured, but the second cannot.
• Investigating assumptions about cause-and-effect relationships
• Looking for the source of a recognised problem

The three types of scatter diagrams

The arc of the correlation on the graph denotes the direction of the link between variables in scatter diagrams. A correlation in a scatter diagram arises when two variables are shown to be related. 

A regression line can be used to predict whether a change in one variable will impact the value of another. When two variables have a cause-and-effect relationship, there is a correlation. In scatter diagrams, there are three types of correlations: 

Positive correlation

When variables have a positive correlation, it means that when the value of the independent variable grows, the value of the dependent variable rises as well.

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Negative correlation

When the value of one variable rises, the value of the other variable lowers in the negative correlation. The value of the dependent variable decreases as the value of the independent variable increases. 

No correlation

When there is no potential link between the variables, the “no correlation” type is utilised. It’s sometimes referred to as zero correlation. The two variables depicted have no relationship.

 Advantages 

• These are some of the advantages of scatter diagrams:
• Patterns are easy to spot in scatter diagrams
• A scatter diagram is easy to plot with two variables
• Scatter diagrams are an effective way to demonstrate non-linear patterns
• Scatter diagrams make it possible to determine data flow range, such as the maximum and minimum values
• Plotting scatter diagrams helps with better project decisions
• Scatter diagrams help uncover the underlying root causes of issues
• They can objectively assess if a given cause and effect are connected

Conclusion

Hopefully, you enjoyed this blog and now understand everything about PMP, including A Quick Guide to Scatter Diagrams in Project Management. 

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