
π This article includes 1 downloadable practice file β
In this article
RSQ returns RΒ², between 0 and 1. Near 1 means a straight line explains the data well; near 0 means your trend forecast is mostly a guess.
Syntax
=RSQ(known_ys, known_xs)
| Argument | What it means |
|---|---|
known_ys |
Values. |
Examples
Example 1
=RSQ(C2:C25, A2:A25)
Check this before trusting a linear forecast.
RSQ in practice
Where you will use it
- How well a trend line fits
- Explain variation in sales
- Model quality
Worked example
| Case | Formula | Result |
|---|---|---|
| 1 | =ROUND(RSQ(INDEX($H$1:$L$3,A2,0),{1,2,3,4,5}),4) | 1 |
| 2 | =ROUND(RSQ(INDEX($H$1:$L$3,A3,0),{1,2,3,4,5}),4) | 0.9968 |
| 3 | =ROUND(RSQ(INDEX($H$1:$L$3,A4,0),{1,2,3,4,5}),4) | 0.1552 |
Results calculated in Excel.
Mistakes people make
| Mistake | What to do instead |
|---|---|
| RΒ² near 1 isn't proof | Check the chart |
| Argument order | known_y's first |
Related functions
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π Practice files for this article
- πPractice workbook: Statistics advanced33 tasks on realistic sales data β type your formula, the Check column turns green when it is right. Answers sheet included.β¬ XLSX Β· 36 KB
Free to use for learning. Files with macros (.bas) are plain text β import them with Alt+F11 β File β Import File, and always test on a copy.
Atul (AJ) builds office-automation and local-first AI tools as Atulya AI, and works with Excel, SAP and Oracle EPM every day. He writes about the shortcuts, macros and automations that actually save time β plus the occasional wacky fact. Videos on YouTube: Lazy Automator AI (@LazyAutomatorAI).
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