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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.
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