| APPLET | SOURCE | DESCRIPTION |
|
| Understanding the Least Squares Regression Line with a Visual Model | National Council of Teachers of Mathematics, Principles & Standards for School Mathematics | Users move points or line to try to find the fit with the minimum squared errors, absolute errors, or shortest distance, includes discussion questions and guided inquiry but can also be used as a standalone applet. more |
|
| Line of Best Fit | National Council of Teachers of Mathematics, Illuminations | Users can place points on a scatterplot and guess at the best fit line before showing actual regression line and correlation, can also move or delete points. more |
|
| Regression by Eye | Prentice-Hall Applets (West) | For randomly generated data, users try to find best fit by manipulating a line and comparing its SSE to the regression SSE before showing actual regression line. more |
|
| Least Squares Criteria for the Least Squares Regression Line | Wolfram Demonstrations Project | For one of three data sets, users try to find least squares line guided by squared errors (shown graphically) before showing actual regression line. Requires download of Mathematica Player as well as demo itself, good for classroom demonstration. more |
|
| Linear and Quadratic Curve Fitting Practice | Wolfram Demonstrations Project | For one several data sets for which number of points and errors can be adjusted, users try to find least squares line guided by squared errors and total error (shown graphically) before showing actual regression line, also has option for quadratic functions. Requires download of Mathematica Player as well as demo itself, good for classroom demonstration. more |
|
| Least Squares | The Geometer’s Sketchpad | Guided by squared errors, users try to find best fit line for sample data that can be altered. more |
|
| Least Squares Regression | Rossman/Chance Applet Collection | Guided by squared errors, users try to find best fit line for sample data that can be altered. more |
|
| RegPlain (Fitting a Regression Line) | Seeing Statistics with Bolder Stats | User attempts to find best line by sight, no feedback on quality of fit. more |
|