Calculation Issues

Why Excel Trendline R-Squared Values Differ Between Computers

Rana GarciaRana Garcia Oct 10, 2026 869 views

Question details

The user is experiencing an issue where Microsoft Excel produces slightly different R-squared values for exponential and linearized trendlines on different computers, despite using the exact same dataset.

Why Excel Trendline R-Squared Values Differ Between Computers
Product
Microsoft Excel
Device & OS
not provided
Scenario
Comparing chart trendline accuracy and R-squared values across multiple devices.
Observed behavior
Identical data sets display conflicting R-squared values on the trendlines depending on which computer or Excel version is rendering the chart.
Before you start

Before troubleshooting, confirm that both computers are opening the exact same workbook file and that no hidden decimal rounding or cell formatting differences are affecting the source data.

Solution 1Recommended

Verify and Update Excel Versions

Differences in calculation behavior for exponential trendlines often result from running different Excel versions or update channels.

Microsoft periodically updates its calculation algorithms. Older versions of Excel and certain preview builds may use a linearized approach for trendlines, while newer versions might calculate exponential trendline R-squared values using a different statistical model.

1
Open Account Settings

Open Microsoft Excel, click on 'File' in the top left corner, and select 'Account' from the left-hand menu.

2
Check Version Information

Look under the 'Product Information' and 'About Excel' sections to find your exact version number, build number, and update channel. Compare these details with the colleague's computer.

3
Update Excel

If the versions differ, click the 'Update Options' button next to Office Updates and select 'Update Now' to ensure both computers are running the latest identical release.

Verify and Update Excel Versions
Algorithm Changes: Even a minor version discrepancy can result in different R-squared outputs due to Microsoft's background patches to regression calculations.
Free Microsoft Office alternative

Use WPS Office for Consistent Data Analysis

If differing Excel versions are causing inconsistent R-squared values across your team's computers, consider standardizing your workflow with WPS Office. It provides a lightweight, highly compatible, and unified calculation engine.

  1. 1. Download and Install: Visit the official WPS website to download and install WPS Office on all team computers.
  2. 2. Open Your Workbook: Launch WPS Spreadsheets and open your existing .xlsx file containing the data and charts.
  3. 3. Add Trendlines Seamlessly: Select your chart, click 'Chart Elements', and add your trendline to view consistent R-squared values.
Consistent chart and trendline calculations across all devices.Highly compatible with Microsoft Excel (.xlsx) formats and formulas.Free and lightweight alternative to expensive, heavy Office suites.Familiar user interface for seamless migration with zero learning curve.
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Frequently Asked Questions

Why did Microsoft change how R-squared is calculated for exponential trendlines?

Microsoft updates Excel's calculation algorithms to improve statistical accuracy. Older versions historically used a linearized approach for non-linear regressions, while newer versions calculate the R-squared for exponential trendlines using more precise models, leading to slight display variations between versions.

Can I manually calculate the R-squared value to verify the correct number?

Yes, you can bypass the chart trendline completely by using the RSQ function in combination with LINEST or LOGEST functions in a worksheet cell. This allows you to manually calculate the R-squared value based on your raw data.

Does this version discrepancy affect linear trendlines as well?

Typically, linear trendlines remain highly consistent across all versions of Excel. The discrepancies are almost exclusively observed in exponential, power, or polynomial trendlines due to changes in how non-linear regression algorithms are handled.