Home / Statistical Tools / Analysis Tools / Scatterplot / Scatter Plot
Scatter Plot¶
Visualize the relationship between two variables and fit regression models to quantify the trend.
What is a Scatter Plot?¶
A scatter plot displays paired X/Y data as points on a chart, revealing relationships between two variables. You can add a regression line — linear, polynomial, logarithmic, power, or exponential — to model the trend, with full statistics including R², coefficients, and p-values. Enter an X value to predict Y using the fitted model.
When you have multiple X and Y columns, Quantum XL creates a scatter plot for each X/Y combination. You can also overlay multiple series on a single chart by sharing an X or Y axis.
When to Use a Scatter Plot¶
- When you want to explore the relationship between two numeric variables
- When you need to fit a regression model and assess goodness of fit (R², F-statistic, p-values)
- When you want to predict Y values from X using a fitted equation
- When you want to compare relationships across groups
Example Output¶
A typical scatter plot shows data points with an optional regression line (solid through the data range, dotted for extrapolation). A statistics table alongside displays R², adjusted R², standard error, F-statistic, and coefficient details. A yellow input cell lets you enter an X value to predict Y.
Learn More¶
- Examples — Step-by-step tutorials for different scenarios
- Preparing Your Data — Data types, X/Y column rules, and the behavior matrix
- Options — Regression types, extrapolation, and data transformation settings