---
title: "Scatter Plot & Correlation"
description: "Does your suspected cause move together with your problem? The Scatter Plot shows it, and the correlation coefficient puts a number on it. Watch the short video, then work with the toolkit PDF: it explains the method, shows a worked…"
url: "https://skillagility.com/en/resources/scatter-plot-correlation/"
updated: "2026-10-11"
category: 03 ANALYZE
---

# Scatter Plot & Correlation

Does your suspected cause move together with your problem? The Scatter Plot shows it, and the correlation coefficient puts a number on it. Watch the short video, then work with the toolkit PDF: it explains the method, shows a worked example and gives you a blank template to fill in.

Tool video

The short tool video will appear here.

[Scatter-Plot-Correlation_Toolkit_EN](https://skillagility.com/wp-content/plugins/embedpress/assets/pdf/web/viewer.html?&file=https%3A%2F%2Fskillagility.com%2Fwp-content%2Fuploads%2F2026%2F10%2FScatter-Plot-Correlation_Toolkit_EN.pdf#key=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)

## Scatter Plot & Correlation in short

1. **Pair your data.** Two columns: X (cause) and Y (effect). Each row is one matched pair.
2. **Insert the chart.** In your spreadsheet: Insert › Chart › Scatter, without connecting lines.
3. **Label it clearly.** A title that states the question, both axes with units.
4. **Read the pattern.** Up to the right: positive. Down to the right: negative. A cloud: none.
5. **Quantify it.** Calculate r. Add a trend line to estimate how much Y changes per unit of X.

Key points

- X on the horizontal, Y on the vertical axis.
- r near ±0.7 or more: strong; ±0.3 to 0.5: moderate.
- Regression predicts Y from X.
- Correlation prioritizes, it does not prove.

**Excel tool:** [Statistics Tool (.xlsx)](https://skillagility.com/wp-content/uploads/2026/10/B303_Statistics-Tool_EN.xlsx)

**Related tools:** [Hypothesis Test Selector](https://skillagility.com/en/resources/hypothesis-test-selector/) · [Chart Selection Guide](https://skillagility.com/en/resources/chart-selection-guide/)