Display Trends and Regression in Crossplots

Use linear methods to calculate and display best fit regression line and correlation coefficient.

  1. Open an existing crossplot or create a new crossplot.    
  2. Open the Regression tab.
  3. Click the blue "+" icon to add a regression.
    • Name: Enter the regression name.
    • Traffic light icons: show or hide selected regression item.
  4. Data: Shows the class and type for the X-axis and Y-axis input data.
  5. Constraint Polygon: Select a polygon created in the polygon tab.
    • Polygon selected: Shows only the input data points for best fit regression line within that polygon.
    • No polygon selected: All data are used for best fit regression line.
  6. Equation: Select the equation to best fit a regression line based on the input data. The result and the correlation coefficient square (R²) is shown below equation field.
    • Linear: y = bx + a
    • Polynomial: y = cx^2 + bx + a (type the order selection between 2 and 6)
    • Exponential: y = ae^bx
    • Power: y = ax^b
  7. Line: Select to show and set the best fit regression line colour and size.
  8. Label: Display the equation and R² value on the crossplot view in two lines. Select the label font type, style, size and colour.
  9. Background: Enable background and set the colour of the label.
  10. Auto position: Enable automatic placement of the label on the crossplot view. If disable, hold SHIFT and drag the label to the preferred location.