AKA | Scatter Analysis, Scatterplot |
Classification | Analyzing/Trending (AT) |
The scatter diagram is an analysis tool that plots related pairs of variables (factors) to display a pattern of relationship or correlation. This tool is extremely useful in detecting possible causes of a problem, the strength of the relationship, and how the change of one variable can affect the other.
To determine if a relationship exists between two sets of data.
To demonstrate that a change in one activity or condition will affect the other.
To verify a possible cause to an observed effect.
To illustrate process improvement.
Select and define problem or opportunity | |
→ | Identify and analyze causes or potential change |
Develop and plan possible solutions or change | |
→ | Implement and evaluate solution or change |
→ | Measure and report solution or change results |
Recognize and reward team efforts |
1 | Research/statistics |
Creativity/innovation | |
Engineering | |
Project management | |
3 | Manufacturing |
5 | Marketing/sales |
Administration/documentation | |
4 | Servicing/support |
2 | Customer/quality metrics |
6 | Change management |
before
Checksheet
Data Collection Strategy
Events Log
Defect Map
Cause and Effect Diagram (CED)
after
Presentation
Information Needs Analysis
Trend Analysis
Potential Problem Analysis (PPA)
Cost of Quality
Scatter patterns of correlation:
STEP 1 Select two sets of data (variables) for plotting. See example Errors Made in Document Processing.
STEP 2 Sort or rank the data pairs from low to high for both data sets.
STEP 3 Construct a diagram and scale both axes in accordance with observed data pairs, from low numbers to high numbers of occurrence. For example, the X axis reflects a scale from 0 to 140 documents processed per day, the Y axis shows a scale from 0 to 25 errors made per day.
STEP 4 Plot related data pairs on the grid—the diagram. Be careful in measuring the exact location of the intersecting point.
STEP 5 Label and date the scatter diagram.