Scatter Plot Examples
Scatter plots are used to evaluate the correlation or cause-effect
relationship (if any) between two variables. There are three primary
scatter plot examples:
- strong positive correlation- data points are tightly
clustered along a trend line with an upward slope (as one variable
increases so does the other).
- strong negative correlation - data points are tightly
clustered along a trend line with a downward slope (as one variable
increases the other variable decreases).
- no correlation - data points look like a shotgun blast.
Scatter Plot Example of Calories Consumed with Weight Gained -
positive correlation

Scatter Plot Example - strong negative correlation

Scatter Plot Example of Staffing Vacanies with Patient Falls -
little or no correlation

If the R² correlation of determination (square of the correlation
coefficient) is greater than 0.8, then 80% of the variability
in the data is accounted for by the equation. Most statistics books
imply that this means that you have a strong correlation.
The Scatter Plot with correlation metrics is just one of
the tools included in the QI
Macros for Excel SPC Software.
Download
the FREE 30-day Evaluation copy of the QI Macros Excel SPC Software for Six Sigma
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