Linear Fit
The Linear Fit feature uses the least squares method to draw a
linear regression line over the selected area of a graph and calculates
the slope (m) and y-intercept (b) of that line.
Perform a Linear Fit
- To perform a linear fit, click and drag across a region of
interest. The shaded area contains the selected data upon which the
linear fit will be calculated. If a region is not selected, the linear
fit will be calculated for all data displayed in the graph.
- Choose Linear Fit from the Analyze menu or click the
Linear Fit button
in the
toolbar.
- A helper object
containing the slope, y-intercept, and correlation coefficient of the
regression line, will be added to the graph. A correlation coefficient
is a number between -1 and 1 which measures to what extent two
variables are linearly related. A perfect correlation with positive
slope is shown by a +1 correlation, while a negative slope is shown by
a -1 correlation. 0 means that there is no linear relationship.
- To remove the linear fit, click the X in the upper corner
of the helper object.
See Also: