Rachel Cunliffe, Ross Parsonage and Matt Regan


Datasets Suitable for Regression/Correlation Analyses


  • Regression by eye A scatter plot is displayed and you can draw in regression lines by hand. You can then compare your lines to the best least squares fit. You can also try to guess the correlation coefficient, r.
  • Guess the correlation coefficient competition Four scatter plots and 4 correlation coefficients and your task is to match the coefficients to the plots. New plots can be generated and a running score is kept.
  • Build your own scatter plot You can add points to the plot and move points around. See the effects on the least squares fitted line (the plotted line and its equation) and the correlation coefficient.
  • Components of r The slope, standard error of the estimate, and the standard deviation of X can all be manipulated independently to see the effect on the scatter plot, r and a visual representation of R-squared.
  • Scatter plot and correlation coefficient The sample size, the points on the scatter plot and the correlation coefficient can all be manipulated independently for you to see their effect on each other.
  • Nonlinear examples and the correlation coefficient

If you go to a page with an applet and you do not have the proper plug-in, you should be prompted automatically to download the plug-in. If this does not happen, download and execute the Java plug-in given here Java 2.

Requirements: Some of the applets require a browser that supports the Java 2 platform and the Java Swing components. We recommend the latest versions of Internet Explorer or Netscape, with the Java plug-in.


Recommended Resource Text