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Resource Name |
Topic (Course) |
Technology |
Type |
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What's My Model?
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Non-Linear Relationships (Probability & Statistics) |
TI-Nspire |
Activity |
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[0]
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Students will investigate several different regression models and determine which of the models makes the most sense, based upon a real-world situation (cooling a cup of hot chocolate).
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Quantitative Environmental Lit...
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Non-Linear Relationships (Probability & Statistics) |
Computer |
Tool |
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[2]
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Lots of real-world data, with descriptions of environmental and mathematical implications; stored in a variety of formats for easy download. Catalogued by mathematical topic and by environmental topi...
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Best Quadratic
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Non-Linear Relationships (Probability & Statistics) |
Java Applet |
Tool |
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[0]
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This applet produces a least squares fit of a quadratic function to a set of data points which you generate by clicking the mouse at selected points in the drawing canvas.
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Least Squares Circle
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Non-Linear Relationships (Probability & Statistics) |
Java Applet |
Tool |
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[4]
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This applet produces a least squares fit of an equation of a circle to a set of data points which you generate by clicking the mouse at selected points in the drawing canvas.
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Multi-Function Data Flyer
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Non-Linear Relationships (Probability & Statistics) |
Java Applet |
Tool |
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[0]
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Enter a set of data points and a function or multiple functions, then manipulate those functions to fit those points. Manipulate the function on a coordinate plane using slider bars. Learn how each co...
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Poly Fit Applet
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Non-Linear Relationships (Probability & Statistics) |
Java Applet |
Tool |
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[0]
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This applet fits the best polynomial of a specified order to the data supplied by the user (least squares method). The maximum allowable polynomial order to be specified is 10 if the number of points...
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Scaling
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Non-Linear Relationships (Probability & Statistics) |
Java Applet |
Tool |
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[0]
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Students explore transformations to linearize data.
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LSRL, Residual Plots, Data Tra...
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Non-Linear Relationships (Probability & Statistics) |
Sketchpad |
Tool |
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Drag seven independent points on a scatterplot, or send them to predetermined arrangements, to enhance understanding of correlation and the implication of changes.
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