App Detail » Line-Fit

Published by: Bjarne Berge

+ Universal App - Designed for iPhone and iPad

Price: FREE!
Current Version: 2.0
Released: June 15, 2019

What's New

Upgraded to SDK 13
Minor bug-fixes
Added 'Share' button to enable sharing, saving, printing of results
Changed color-scheme to work in Dark Mode
Updated layout and fonts to work better with iPads (better layout/larger fonts)

App Description

The Line-Fit app uses linear regression to model the relationship between two variables (x and y) by fitting a linear equation to observed data. One variable is considered to be an explanatory (independent) variable, and the other is considered to be a response (dependent) variable.

A linear regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable. The slope of the line is b, and the intercept is a (the value of y when x = 0).

To measure the association between the two variables the correlation coefficient is used, which is a value between -1 and 1 indicating the strength of the association of the observed data for the two variables.

The coefficient of determination, R2, measures how close the data are to the fitted regression line. In general, higher values of R2 indicate a better fit of the model to the given data. R2 is always positive and equal to 1.0 for a perfect fit.