Best Linear Regression Equation Apps

244+ iOS apps curated and reviewed

4.1 avg rating
17 free apps
Updated September 2026

Looking for free linear regression equation apps? 17 of our 244+ tracked titles are free to download — no subscription, no trial. The rest are premium picks worth paying for.

Compare top Linear Regression Equation Apps (September 2026)

#AppPriceRatingAdsIn-App PurchasesUpdated
1Quick Linear RegressionQuick Linear Regression$0.991.0★ (2)NoNoAug 2026
2LineRegressionLineRegressionFreeNoNoMay 2026
3Art of Stat: RegressionArt of Stat: RegressionFree4.7★ (20)NoYesJul 2026
4Linear Equations CalculatorLinear Equations CalculatorFree4.1★ (28)NoYesSep 2026
5Khan AcademyKhan AcademyFree4.6★ (110K)NoNoSep 2026
6Solving Linear Equation PROSolving Linear Equation PRO$1.994.6★ (22)NoNoSep 2026
7Equation Solver 4in1Equation Solver 4in1$5.99 was $9.99NoNoSep 2026
8Linear Equations TutorLinear Equations TutorFree4.5★ (13)NoYesAug 2026

Top Picks for Linear Regression Equation

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FAQ about Linear Regression Equation

What are the best linear regression equation apps for iPhone?
Quick Linear Regression tops our linear regression equation apps ranking as of September 2026, with a 1.0-star average from 2 App Store ratings, and it's priced at $0.99.
Yes — 17 of the top linear regression equation apps we rank are free to download, including LineRegression and Art of Stat: Regression.
Quick Linear Regression has no ads and has no in-app purchases, according to its App Store listing as of September 2026.
We track 244+ linear regression equation apps on the iOS App Store as of September 2026, ranked by rating, recency, and analysis of real user reviews.
Quick Linear Regression is used to estimate the relationship between an independent variable (X) and a dependent variable (Y) using statistical methods like ordinary least squares. It helps in understanding the 'goodness of fit' of the data to a straight line.
It fits a straight line to a scatter plot of X-Y coordinates by minimizing the sum of squared differences between actual outcomes and the line's predicted values. It also calculates the R-squared value to indicate how well the line represents the data.