# Scatter Plot Examples

*Scatter plots * are used to evaluate the correlation or cause-effect relationship (if any) between two variables.

## There are three primary types of scatter plots:

### Strong Positive Correlation

Data points are clustered along a trend line

Upward slope (as one variable increases so does the other).

R² is greater than .80

### Strong Negative Correlation

Data points are clustered along a trend line.

Downward slope (as one variable increases the other decreases.)

R² is greater than .80

**No Correlation**

Data points look like a shotgun blast

R² is less than .80

### Calculating the Correlation of Determination

If R², the 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*.

**Scatter Plots **can be made manually or in Excel. However, you have to find the right chart to get a** trend line **and Excel will not calculate the R² for you.

**QI Macros Add-in for Excel** can create a scatter plot in seconds and will calculate the slope and R² for you. FREE QI Macros 30-Day Trial

### QI Macros Can Also Create These Charts in Excel

### Learn More...

- Watch video showing how to create a Scatter Plot in Excel using the QI Macros
- Scatter Plot Diagram
- Scatter Plot Matrix for more than two variables

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