We’re beta testing our new graph-making tool, and we’d love your feedback! If you notice anything confusing, buggy, or awesome, please tell us here: Open Google Form for Feedback in a New Tab
Scatter Plot Maker
How is the best-fit line found?
This tool uses a standard method called least-squares linear regression. It finds the straight line that makes the total “vertical distance” from the points to the line as small as possible.
In other words, it chooses a slope and intercept so the line is the closest overall match to your data. This is the same basic method used in Excel, Desmos, and graphing calculators when you add a linear trend line.
Note: This tool shows the line and R² only (not confidence intervals or p-values). That keeps it simple for classroom use.
Insert Data Points
| X value | Y value | Actions |
|---|
Instructions
1. Type a graph title and axis labels.
2. Enter your X values (numbers only) and Y values in the table.
3. Add rows to add more points.
4. (Optional) Turn on “best-fit line” to show the overall trend.
5. Click “Graph Data.”
Your work auto-saves, so if your tab closes you can come back.
Key Vocabulary
Scatter Plot: a graph that shows points. Each point matches one X value and one Y value.
Trend / Best-Fit Line: a line that shows the overall pattern in the data.
Independent Variable (X): what you change or compare.
Dependent Variable (Y): what you measure.
What does R² mean?
R² (R squared) tells you how well your best-fit line matches your points.
- If R² is close to 1, your points follow a strong straight-line pattern.
- If R² is close to 0, a straight line does not explain the pattern very well.
“How much of the change in Y can be explained by X using this line?”
Reminder: R² does not prove that X causes Y — it only tells how well a line fits the data.