# Quick Linear Regression

> Statistical tool for estimating variable relationships using ordinary least squares. (iPhone/iPad app by MSYapps.)

- Source: https://appshunter.io/ios/app/quick-linear-regression/id488639289 (this page in markdown: same URL + `.md`)
- Developer: [MSYapps](https://appshunter.io/developer/458482419)
- Category: Education, Business
- Price: $0.99
- Rating: 1.00/5 from 2 App Store ratings · 5 written reviews indexed
- Age rating: 4+
- Requires: iOS 12.4 · 3 MB
- Languages: American English
- Released: 2011-12-15
- Data updated: 2026-08-17
- Monetization: paid
- User reviews in markdown: https://appshunter.io/ios/app/quick-linear-regression/id488639289/reviews.md

## What is Quick Linear Regression?

In statistics, linear regression is a technique for estimating the relationship between an independent variable, X, and its scalar result, the dependent variable, Y, derived from a series of X-Y relationships.

The computational routine involves trying to fit a straight line between a scatter plot of X-Y coordinates such that the sum of the squared differences between each dependent outcome, Yi, and the line computed at each Xi is minimized. This is the so-called "ordinary least squares (OLS)" estimator.

R-squared, often called the "coefficient of determination," expresses the "goodness of fit" of the line to the scatter plot. It ranges from 0, no fit whatever, to 1, which is a perfect relationship where all the points in the plot fit along the straight line.

The iPad version allows you to add, retrieve, reorder, or delete data sets. It also permits emailing, text messaging, and printing of a PDF report. Also, changing the form of the regression equation from Y = function(X) to X = function(Y) is allowed along with estimation of the dependent variable amount from a user-specified independent variable amount.

## Key features

- Linear regression analysis
- Data set management
- R-squared calculation
- Equation form switching
- Variable estimation
- PDF report generation

## Recent user reviews (5 of 5)

All indexed reviews: https://appshunter.io/ios/app/quick-linear-regression/id488639289/reviews.md

### 1/5 — You are on your own!

*2019-01-28*

Certainly not user friendly. Enter you data and keep pressing buttons for something to happen. What ever happened to the instruction manual?

### 1/5 — no decimal option

*2017-02-02*

there isn't a way to put anything into the data tables that isn't a whole number, which renders this app completely useless for anyone who is using fraction data. when i enter a decimal, e.g. 0.100, it converts it to 100 or even some other ridiculous number. when i tried to go back and edit it, it did the same thing. COMPLETE waste of money, and if i could get a refund, i'd do it in a heartbeat.

### 1/5 — Wildly off

*2014-05-30*

This was wildly off. Not worth the download. I wish I had my money back.

### 1/5 — Freezes!

*2013-12-16*

Worked once then screen freezes. Disappointed.

### 1/5 — Didn't work!

*2013-10-19*

Didn't work!!!
I want my money back!

## Frequently asked questions about Quick Linear Regression

### What is Quick Linear Regression used for?

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.

### How does Quick Linear Regression calculate relationships?

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.

### What kind of reports can Quick Linear Regression generate?

The app can generate PDF reports of the regression analysis, which can be emailed, text messaged, or printed. This allows for easy sharing and documentation of findings.

### Can I switch the regression equation form in Quick Linear Regression?

Yes, you can change the form of the regression equation from Y = function(X) to X = function(Y). This flexibility allows for different perspectives in analyzing the relationship between variables.

### Does Quick Linear Regression support offline use?

The description does not specify offline capabilities, but as a calculation and reporting tool, it is likely designed to function without a constant internet connection once installed.

### What devices is Quick Linear Regression available on?

Quick Linear Regression is available on iPhone, iPad, and iPod. It was released on December 15, 2011, and last updated on August 13, 2023, with version 8.2.1.

### What is the age rating for Quick Linear Regression?

Quick Linear Regression has an age rating of 4+, making it suitable for a wide range of users, including younger students learning about data analysis.

### How often is Quick Linear Regression updated?

The app was last updated on August 13, 2023, indicating regular maintenance and potential feature additions. The current version is 8.2.1.

## Version history (last 5 releases)

### 8.2.1 — 2023-08-13

- Fixed bug that prevented app output from being shared from the iPad.

### 8.2 — 2023-08-06

- Minor change to graph engine CorePlot.

### 8.1 — 2023-05-10

- Updated graph to CorePlot version 2.4
- GUI changes

### 8.0 — 2019-12-23

- Redesign and reworking of GUI.
- Code changes to accommodate iOS 13.
- Removed links to Facebook and Twitter.
- Audio feedback when various objects are touched.
- Changed most decimal precision from single (float) to double.

### 7.5 — 2016-11-30

- Code tweaks to accommodate iOS 10.

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All apps by MSYapps: https://appshunter.io/developer/458482419

## Related topics

[regression](https://appshunter.io/ios/topics/regression) · [linear regression equation](https://appshunter.io/ios/topics/linear-regression-equation)

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-08-17.*