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.
Performing 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 the data displayed in the graph.
- Choose Linear Fit from the Analyze menu.
- After choosing Linear Fit from the Analyze menu, 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 upper corner of the helper object.
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