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.
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- Fixed bug that prevented app output from being shared from the iPad.
Version 8.2.1
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Information
Size
3 MB
Category
Education
Compatibility
Requires iOS 12.4 or later.
iPhone Requires iOS 12.4 or later.
iPad Requires iPadOS 12.4 or later.
iPod touch Requires iOS 12.4 or later.
Mac Requires macOS 11.0 or later and a Mac with Apple M1 chip or later.
Michael YOUNG has not identified itself as a trader for this app. If you are a consumer in the European Economic Area, consumer rights do not apply to agreements between you and the provider.
