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Statistical Inference and Techniques -- Linear Models -- Regression

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View Resource ** Linear Regression Calculator

This Flash applet provides an introduction to simple linear regression for introductory statistics students. It combines a brief narrated animation with an interactive scatterplot function. Students are able to place points on the scatterplot by clicking with a mouse or typing X-Y coordinates. Students use these points to learn about the best fit line by placing a guess on the plot and...

http://www.roundworldmedia.com/linear/linear.html
View Resource ** Regression

This applet from Statistical Java allows the user to generate bivariate data for analysis with simple linear regression. The page describes the equations used to generate the data and estimate the regression lines. Users manipulate data generated and create their own line of best fit to try and match the computer generated regression line. This page was formerly located at http...

http://www.causeweb.org/repository/statjava/Regression.html
View Resource **Histograms on Linear Regression

This applet simulates a linear regression plot and the corresponding intercept and slope histograms. The program allows the user to change settings such as slope, standard deviation, sample size, and more.

http://ucs.kuleuven.be/java/version2.0/Applet003.html
View Resource **Least Squares Demo

This simulation illustrates least squares regression and how the least squares solution minimizes the sum of the squared residuals. The applet demonstrates, in a visual manner, various concepts related to least squares regression. These include residuals, sum of squares, the mean line, how the line of best fit is determined, and how the line of least squares solution minimizes the sum of the...

http://sambaker.com/courses/J716/demos/LeastSquares/LeastSqu...
View Resource **Regression

Regression contains three applets on linear, quadratic and exponential regression. Each allows the user to investigate the relationship between the scatter plot of entered data and the regression equation.

http://science.kennesaw.edu/~plaval/tools/regression.html
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