NeoCal User Guide

Linear Regression

Linear regression involves fitting a straight line through the set of two or more data points accumulated in the statistical registers. Linear estimation uses this line to calculate an estimate of either x or y, based on the other.

Continuing the previous example,

  1. Press to estimate the x value (50.36) for the given y value.
  2. Press to display the correlation coefficient (0.97).
  3. Press to estimate and display the y value (-5.34) for the given x value. This is the y-intercept of the fitted line.
  4. Press to display the slope (0.34) of the fitted line.

[ NeoCal User Guide : Statistical Functions ]

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