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.
-
estimates x for a given y value. The
correlation coefficient (r) is returned in the y register.
-
estimates y for a given x value. The slope
(m) of the line is returned in the y register. The y intercept of
the line can be calculated by estimating y for x = 0.
Continuing the previous example,
- Press
to estimate the x value (50.36) for the given y value.
- Press
to display the correlation
coefficient (0.97).
- Press
to estimate and
display the y value (-5.34) for the given x value. This is the
y-intercept of the fitted line.
- Press
to display the slope (0.34) of the
fitted line.