Quick Linear Regression Downloads & RevenueQuick Linear Regression · App Store
Not in any tracked top chart right now.
Updated 8 Nov 2026 · rankings refresh through the day
DeveloperMSYapps
CategoryEducation
Price0.99 GBP
Released
Rating★ 0.0 (0)
Version8.2.1
Age rating4+
First seen by us
10 Oct 2026
10 Oct 2026Quick Linear Regression update history & changes
Last change · 4 events since 15 Dec 2011Full timeline ↓Full timeline · 3 events in the last 12 months
- 📈Quick Linear Regression dropped out of every chart we trackLast seen 10 Oct
- 🆕Quick Linear Regression first spotted by AppInsider#29 in Top Paid · Education · United Kingdom
- 🆕Quick Linear Regression released on the App Store
Collected from the stores by AppInsider since we first spotted the app. Dates are when we saw each change.
Rating
0.0 ★
0 ratings
Measured
Quick Linear Regression on the App Store
App details
App ID
488639289
Publisher
Michael YOUNG
On the store since
Dec 2011
14 years on the store
Minimum OS
iOS 12.4+
iPhone 5s and later
Devices
iPhone · iPad
Universal purchase
Content rating
4+
Languages
1
EN
Size
3 MB
Also listed in
Business
Where it ranks now
Every top chart it appears in across 30 countries.
| Country | Charts | Rank |
|---|---|---|
| Not charting right now. | ||
Ratings
App Store, worldwide.
Rating
0.0 ★
0 ratings
Measured
Ratings
0
Measured
About 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.
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.
Latest updates
8.2.1
- Fixed bug that prevented app output from being shared from the iPad.
