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• Section 2.1 – Scatterplots
  • online resources:
    1. Two–Dimensional Scatterplot - http://seamonkey.ed.asu.edu/~behrens/2dplotter.html
       This applet will construct a scatterplot from data typed in by user.
    2. Summarizing and Presenting Data: Presenting Data for Two Continuous Measurements - http://www.anu.edu.au/nceph/surfstat/surfstat-home/1-4-1.html
       This page provides a discussion of scatterplots.
       
       
• Section 2.2 – Correlation
  • online resources:
    1. Correlation/Outliers Applet - http://www.math.tamu.edu/FiniteMath/FinalBuild/Classes/Correlation/
       Once applet can provide you with real insight into how to read scatterplots and into how correlation coefficients can be misleading.
    2. Correlation coefficient - http://noppa5.pc.helsinki.fi/koe/corr/cor7.html
       This applet allows you to choose the numerical correlation coefficient and they give you a scatterplot with that coefficient.
    3. Guessing Correlations - http://www.stat.uiuc.edu/~stat100/java/GCApplet/GCAppletFrame.html
       This applet gives you four scatterplots and four correlation coefficients. You match them up.
       
       
• Section 2.3 – Least–Squares Regression
  • online resources:
    1. Regression by Eye - http://www.ruf.rice.edu/~lane/stat_sim/reg_by_eye/index.html
       This applet gives you a scatterplot and you can use the mouse to indicate what seems to be the best straight line approximating the data. This is an excellent way to develop a feel for linear regression!
    2. Correlation and Regression Calculator - http://calculators.stat.ucla.edu/correlation.php
       This calculator returns the means, variances, regression coefficients, covariance, correlation coefficient, plus a scatterplot with the two regression lines.
    3. Visual Statistics - http://www.seeingstatistics.com/seeingTour/intro/why3.html
       This applet graphssome common geometric statistical concepts: data points (black dots), residuals (red lines), error squares (yellow squares), and regression or model line (blue line). Use your mouse to drag the blue line and see how the geometric objects change.
       
       
• Section 2.4 – Cautions about Correlation and Regression
  • online resources:
    1. TBD.
       
       

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